diff --git a/poetry.lock b/poetry.lock
index 5c237c0..ce32212 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -6,6 +6,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -13,30 +14,47 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.6.2.post1"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
-    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
+    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
+    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
 ]
 
 [package.dependencies]
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
+[[package]]
+name = "async-timeout"
+version = "5.0.1"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version < \"3.11.0\""
+files = [
+    {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
+    {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
+]
+
 [[package]]
 name = "asyncpg"
 version = "0.30.0"
 description = "An asyncio PostgreSQL driver"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "asyncpg-0.30.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bfb4dd5ae0699bad2b233672c8fc5ccbd9ad24b89afded02341786887e37927e"},
     {file = "asyncpg-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc1f62c792752a49f88b7e6f774c26077091b44caceb1983509edc18a2222ec0"},
@@ -89,6 +107,9 @@ files = [
     {file = "asyncpg-0.30.0.tar.gz", hash = "sha256:c551e9928ab6707602f44811817f82ba3c446e018bfe1d3abecc8ba5f3eac851"},
 ]
 
+[package.dependencies]
+async-timeout = {version = ">=4.0.3", markers = "python_version < \"3.11.0\""}
+
 [package.extras]
 docs = ["Sphinx (>=8.1.3,<8.2.0)", "sphinx-rtd-theme (>=1.2.2)"]
 gssauth = ["gssapi", "sspilib"]
@@ -96,138 +117,128 @@ test = ["distro (>=1.9.0,<1.10.0)", "flake8 (>=6.1,<7.0)", "flake8-pyi (>=24.1.0
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2025.1.31"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
-    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
-    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
+    {file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
+    {file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
 ]
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.0"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.7"
+groups = ["main"]
 files = [
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+    {file = "charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3"},
 ]
 
 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
-    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
+    {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
+    {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
 ]
 
 [package.dependencies]
@@ -239,6 +250,8 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main"]
+markers = "platform_system == \"Windows\" or sys_platform == \"win32\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -246,20 +259,21 @@ files = [
 
 [[package]]
 name = "deprecated"
-version = "1.2.15"
+version = "1.2.18"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+groups = ["main"]
 files = [
-    {file = "Deprecated-1.2.15-py2.py3-none-any.whl", hash = "sha256:353bc4a8ac4bfc96800ddab349d89c25dec1079f65fd53acdcc1e0b975b21320"},
-    {file = "deprecated-1.2.15.tar.gz", hash = "sha256:683e561a90de76239796e6b6feac66b99030d2dd3fcf61ef996330f14bbb9b0d"},
+    {file = "Deprecated-1.2.18-py2.py3-none-any.whl", hash = "sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec"},
+    {file = "deprecated-1.2.18.tar.gz", hash = "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d"},
 ]
 
 [package.dependencies]
 wrapt = ">=1.10,<2"
 
 [package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "jinja2 (>=3.0.3,<3.1.0)", "setuptools", "sphinx (<2)", "tox"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools", "tox"]
 
 [[package]]
 name = "dnspython"
@@ -267,6 +281,7 @@ version = "2.7.0"
 description = "DNS toolkit"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "dnspython-2.7.0-py3-none-any.whl", hash = "sha256:b4c34b7d10b51bcc3a5071e7b8dee77939f1e878477eeecc965e9835f63c6c86"},
     {file = "dnspython-2.7.0.tar.gz", hash = "sha256:ce9c432eda0dc91cf618a5cedf1a4e142651196bbcd2c80e89ed5a907e5cfaf1"},
@@ -287,6 +302,7 @@ version = "2.2.0"
 description = "A robust email address syntax and deliverability validation library."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"},
     {file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
@@ -296,12 +312,29 @@ files = [
 dnspython = ">=2.0.0"
 idna = ">=2.0.0"
 
+[[package]]
+name = "exceptiongroup"
+version = "1.2.2"
+description = "Backport of PEP 654 (exception groups)"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version < \"3.11\""
+files = [
+    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
+    {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
+]
+
+[package.extras]
+test = ["pytest (>=6)"]
+
 [[package]]
 name = "factory-boy"
 version = "3.3.1"
 description = "A versatile test fixtures replacement based on thoughtbot's factory_bot for Ruby."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "factory_boy-3.3.1-py2.py3-none-any.whl", hash = "sha256:7b1113c49736e1e9995bc2a18f4dbf2c52cf0f841103517010b1d825712ce3ca"},
     {file = "factory_boy-3.3.1.tar.gz", hash = "sha256:8317aa5289cdfc45f9cae570feb07a6177316c82e34d14df3c2e1f22f26abef0"},
@@ -320,6 +353,7 @@ version = "30.10.0"
 description = "Faker is a Python package that generates fake data for you."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "Faker-30.10.0-py3-none-any.whl", hash = "sha256:5f05ee92ddf0e1736d95dca41b2a16ee06d987b736fa4ddecdb047abf2e9024b"},
     {file = "faker-30.10.0.tar.gz", hash = "sha256:c2e627d3becec67f7a45400d3670018b5abb3f0728b7dfaa06c135b7df1ce3fb"},
@@ -331,42 +365,45 @@ typing-extensions = "*"
 
 [[package]]
 name = "fastapi"
-version = "0.115.6"
+version = "0.115.8"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
-    {file = "fastapi-0.115.6-py3-none-any.whl", hash = "sha256:e9240b29e36fa8f4bb7290316988e90c381e5092e0cbe84e7818cc3713bcf305"},
-    {file = "fastapi-0.115.6.tar.gz", hash = "sha256:9ec46f7addc14ea472958a96aae5b5de65f39721a46aaf5705c480d9a8b76654"},
+    {file = "fastapi-0.115.8-py3-none-any.whl", hash = "sha256:753a96dd7e036b34eeef8babdfcfe3f28ff79648f86551eb36bfc1b0bf4a8cbf"},
+    {file = "fastapi-0.115.8.tar.gz", hash = "sha256:0ce9111231720190473e222cdf0f07f7206ad7e53ea02beb1d2dc36e2f0741e9"},
 ]
 
 [package.dependencies]
 email-validator = {version = ">=2.0.0", optional = true, markers = "extra == \"standard\""}
 fastapi-cli = {version = ">=0.0.5", extras = ["standard"], optional = true, markers = "extra == \"standard\""}
 httpx = {version = ">=0.23.0", optional = true, markers = "extra == \"standard\""}
-jinja2 = {version = ">=2.11.2", optional = true, markers = "extra == \"standard\""}
+jinja2 = {version = ">=3.1.5", optional = true, markers = "extra == \"standard\""}
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-python-multipart = {version = ">=0.0.7", optional = true, markers = "extra == \"standard\""}
-starlette = ">=0.40.0,<0.42.0"
+python-multipart = {version = ">=0.0.18", optional = true, markers = "extra == \"standard\""}
+starlette = ">=0.40.0,<0.46.0"
 typing-extensions = ">=4.8.0"
 uvicorn = {version = ">=0.12.0", extras = ["standard"], optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
-all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "fastapi-cli"
-version = "0.0.5"
+version = "0.0.7"
 description = "Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
-    {file = "fastapi_cli-0.0.5-py3-none-any.whl", hash = "sha256:e94d847524648c748a5350673546bbf9bcaeb086b33c24f2e82e021436866a46"},
-    {file = "fastapi_cli-0.0.5.tar.gz", hash = "sha256:d30e1239c6f46fcb95e606f02cdda59a1e2fa778a54b64686b3ff27f6211ff9f"},
+    {file = "fastapi_cli-0.0.7-py3-none-any.whl", hash = "sha256:d549368ff584b2804336c61f192d86ddea080c11255f375959627911944804f4"},
+    {file = "fastapi_cli-0.0.7.tar.gz", hash = "sha256:02b3b65956f526412515907a0793c9094abd4bfb5457b389f645b0ea6ba3605e"},
 ]
 
 [package.dependencies]
+rich-toolkit = ">=0.11.1"
 typer = ">=0.12.3"
 uvicorn = {version = ">=0.15.0", extras = ["standard"]}
 
@@ -379,6 +416,8 @@ version = "3.1.1"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version < \"3.14\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"
 files = [
     {file = "greenlet-3.1.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:0bbae94a29c9e5c7e4a2b7f0aae5c17e8e90acbfd3bf6270eeba60c39fce3563"},
     {file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fde093fb93f35ca72a556cf72c92ea3ebfda3d79fc35bb19fbe685853869a83"},
@@ -465,6 +504,7 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
@@ -476,6 +516,7 @@ version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
     {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
@@ -497,6 +538,7 @@ version = "0.6.4"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "httptools-0.6.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0"},
     {file = "httptools-0.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da"},
@@ -552,6 +594,7 @@ version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
     {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
@@ -577,6 +620,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -585,31 +629,13 @@ files = [
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 
-[[package]]
-name = "importlib-resources"
-version = "6.4.5"
-description = "Read resources from Python packages"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "importlib_resources-6.4.5-py3-none-any.whl", hash = "sha256:ac29d5f956f01d5e4bb63102a5a19957f1b9175e45649977264a1416783bb717"},
-    {file = "importlib_resources-6.4.5.tar.gz", hash = "sha256:980862a1d16c9e147a59603677fa2aa5fd82b87f223b6cb870695bcfce830065"},
-]
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["jaraco.test (>=5.4)", "pytest (>=6,!=8.1.*)", "zipp (>=3.17)"]
-type = ["pytest-mypy"]
-
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -617,13 +643,14 @@ files = [
 
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
-    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
-    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+    {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
+    {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
 ]
 
 [package.dependencies]
@@ -634,18 +661,18 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "limits"
-version = "3.13.0"
+version = "4.0.1"
 description = "Rate limiting utilities"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
-    {file = "limits-3.13.0-py3-none-any.whl", hash = "sha256:9767f7233da4255e9904b79908a728e8ec0984c0b086058b4cbbd309aea553f6"},
-    {file = "limits-3.13.0.tar.gz", hash = "sha256:6571b0c567bfa175a35fed9f8a954c0c92f1c3200804282f1b8f1de4ad98a953"},
+    {file = "limits-4.0.1-py3-none-any.whl", hash = "sha256:67667e669f570cf7be4e2c2bc52f763b3f93bdf66ea945584360bc1a3f251901"},
+    {file = "limits-4.0.1.tar.gz", hash = "sha256:a54f5c058dfc965319ae3ee78faf222294659e371b46d22cd7456761f7e46d5a"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2"
-importlib-resources = ">=1.3"
 packaging = ">=21,<25"
 typing-extensions = "*"
 
@@ -667,6 +694,7 @@ version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
     {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
@@ -691,6 +719,7 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"},
@@ -761,6 +790,7 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -772,6 +802,7 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -783,6 +814,7 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -798,6 +830,7 @@ version = "2.9.10"
 description = "psycopg2 - Python-PostgreSQL Database Adapter"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "psycopg2-binary-2.9.10.tar.gz", hash = "sha256:4b3df0e6990aa98acda57d983942eff13d824135fe2250e6522edaa782a06de2"},
     {file = "psycopg2_binary-2.9.10-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:0ea8e3d0ae83564f2fc554955d327fa081d065c8ca5cc6d2abb643e2c9c1200f"},
@@ -870,18 +903,19 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.10.2"
+version = "2.10.6"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
-    {file = "pydantic-2.10.2-py3-none-any.whl", hash = "sha256:cfb96e45951117c3024e6b67b25cdc33a3cb7b2fa62e239f7af1378358a1d99e"},
-    {file = "pydantic-2.10.2.tar.gz", hash = "sha256:2bc2d7f17232e0841cbba4641e65ba1eb6fafb3a08de3a091ff3ce14a197c4fa"},
+    {file = "pydantic-2.10.6-py3-none-any.whl", hash = "sha256:427d664bf0b8a2b34ff5dd0f5a18df00591adcee7198fbd71981054cef37b584"},
+    {file = "pydantic-2.10.6.tar.gz", hash = "sha256:ca5daa827cce33de7a42be142548b0096bf05a7e7b365aebfa5f8eeec7128236"},
 ]
 
 [package.dependencies]
 annotated-types = ">=0.6.0"
-pydantic-core = "2.27.1"
+pydantic-core = "2.27.2"
 typing-extensions = ">=4.12.2"
 
 [package.extras]
@@ -890,111 +924,112 @@ timezone = ["tzdata"]
 
 [[package]]
 name = "pydantic-core"
-version = "2.27.1"
+version = "2.27.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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 [package.dependencies]
@@ -1002,13 +1037,14 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pygments"
-version = "2.18.0"
+version = "2.19.1"
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 [package.extras]
@@ -1016,20 +1052,23 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
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+version = "8.3.4"
 description = "pytest: simple powerful testing with Python"
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 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
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 iniconfig = "*"
 packaging = "*"
 pluggy = ">=1.5,<2"
+tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
@@ -1040,6 +1079,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
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 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
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 [[package]]
 name = "python-multipart"
-version = "0.0.18"
+version = "0.0.20"
 description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.8"
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 [[package]]
@@ -1079,6 +1121,7 @@ version = "2024.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
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@@ -1090,6 +1133,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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@@ -1152,6 +1196,7 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.8.0"
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 pygments = ">=2.13.0,<3.0.0"
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 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
+[[package]]
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+version = "0.13.2"
+description = "Rich toolkit for building command-line applications"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
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+typing-extensions = ">=4.12.2"
+
 [[package]]
 name = "shellingham"
 version = "1.5.4"
 description = "Tool to Detect Surrounding Shell"
 optional = false
 python-versions = ">=3.7"
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@@ -1198,13 +1263,14 @@ files = [
 
 [[package]]
 name = "six"
-version = "1.16.0"
+version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
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 [[package]]
@@ -1213,6 +1279,7 @@ version = "0.1.9"
 description = "A rate limiting extension for Starlette and Fastapi"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["main"]
 files = [
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@@ -1230,6 +1297,7 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
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@@ -1237,72 +1305,73 @@ files = [
 
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+version = "2.0.37"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
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 typing-extensions = ">=4.6.0"
 
 [package.extras]
@@ -1336,6 +1405,7 @@ version = "0.13.0"
 description = "A library to filter SQLAlchemy queries."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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 description = "Various utility functions for SQLAlchemy."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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 [[package]]
 name = "starlette"
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+version = "0.45.3"
 description = "The little ASGI library that shines."
 optional = false
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 [package.dependencies]
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+full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
+
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+]
 
 [[package]]
 name = "typer"
-version = "0.14.0"
+version = "0.15.1"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
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+    {file = "typer-0.15.1.tar.gz", hash = "sha256:a0588c0a7fa68a1978a069818657778f86abe6ff5ea6abf472f940a08bfe4f0a"},
 ]
 
 [package.dependencies]
@@ -1418,6 +1534,7 @@ version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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@@ -1425,13 +1542,14 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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+    {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [package.extras]
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 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
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 python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
+typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
 watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
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 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\""
 files = [
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 [[package]]
 name = "watchfiles"
-version = "1.0.0"
+version = "1.0.4"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
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 [package.dependencies]
@@ -1601,157 +1724,173 @@ anyio = ">=3.0.0"
 
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 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
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 python-versions = ">=3.9"
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 ]
 
 [metadata]
-lock-version = "2.0"
-python-versions = "^3.11"
-content-hash = "9654447dbf1475e6cc8b087b55d5c8b79d8427983634bed31405ebd0bb9ddc91"
+lock-version = "2.1"
+python-versions = "^3.10"
+content-hash = "8a5cb374daf27889483124253948b1b1b29d0dd1b25948274c1d49edf717da6e"
diff --git a/pyproject.toml b/pyproject.toml
index f784ffe..e064442 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,7 @@ license = "MIT"
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = "^3.11"
+python = "^3.10"
 fastapi = {extras = ["standard"], version = "^0.115.6"}
 sqlalchemy = "^2.0.36"
 httpx = "^0.27.2"
diff --git a/src/modules/Eac.py b/src/modules/Eac.py
new file mode 100644
index 0000000..9904aa5
--- /dev/null
+++ b/src/modules/Eac.py
@@ -0,0 +1,180 @@
+from modules.config import get_connection
+from psycopg2.extras import DictCursor
+import numpy_financial as npf
+import json
+
+class Eac:
+
+    def __init__(self):
+        pass
+
+    def __calculate_npv_with_db_inflation_rate(self, equipment_id):
+        try:
+            # Mendapatkan koneksi dari config.py
+            connection = get_connection()
+            if connection is None:
+                print("Koneksi ke database gagal.")
+                return None
+
+            # Membuat cursor menggunakan DictCursor
+            cursor = connection.cursor(cursor_factory=DictCursor)
+
+            # Query untuk mendapatkan data2 dasar
+            query_inflation_rate = """
+            select 
+            (SELECT value_num / 100 FROM lcc_ms_master WHERE name = 'inflation_rate') as inflation_rate
+            , (SELECT value_num / 100 FROM lcc_ms_master WHERE name = 'discount_rate') as discount_rate
+            , (select COALESCE(rc_total_cost,0) from lcc_tr_data ltd where equipment_id = %s and seq = 0) as rc_total_cost_0
+            ;
+            """
+            cursor.execute(query_inflation_rate, (equipment_id,))
+            inflation_rate_result = cursor.fetchone()
+
+            if not inflation_rate_result:
+                print("Inflation rate tidak ditemukan.")
+                return None
+
+            inflation_rate = inflation_rate_result['inflation_rate']
+            disc_rate = inflation_rate_result['discount_rate']
+            rc_total_cost_0 = inflation_rate_result['rc_total_cost_0']
+
+            last_seq = 0
+            last_npv = 0
+            # Query untuk mendapatkan data dengan seq dan is_actual
+            query_data_actual = """
+            SELECT equipment_id, tahun, seq, is_actual, rc_total_cost
+            FROM lcc_tr_data
+            WHERE is_actual = 1 AND seq != 0
+            AND equipment_id = %s
+            ORDER BY seq;
+            """
+            cursor.execute(query_data_actual, (equipment_id,))
+            data_actual = cursor.fetchall()
+
+            # Variabel untuk menyimpan hasil NPV dan PMT per baris
+            npv_results = []
+            cumulative_values = []  # Menyimpan nilai kumulatif hingga baris ke-n
+            # Menghitung NPV dan PMT secara bertahap untuk data aktual
+            for idx, row in enumerate(data_actual):
+                cumulative_values.append(row['rc_total_cost'])
+                # Menghitung NPV menggunakan rumus diskonto
+                final_value = sum(
+                    value / ((1 + inflation_rate) ** (i + 1)) for i, value in enumerate(cumulative_values))
+                # Menghitung PMT
+                pmt_value = -npf.pmt(inflation_rate, row['seq'], final_value)
+                pmt_aq_cost = -npf.pmt(disc_rate, row['seq'], rc_total_cost_0)
+                eac = pmt_value + pmt_aq_cost
+
+                npv_results.append({
+                    'seq': row['seq'],
+                    'year': row['tahun'],
+                    'npv': final_value,
+                    'pmt': pmt_value,
+                    'pmt_aq_cost': pmt_aq_cost,
+                    'eac': eac,
+                    'is_actual': 1
+                })
+
+                # Update lcc_tr_data
+                update_query = """
+                UPDATE lcc_tr_data
+                SET eac_npv = %s, eac_annual_mnt_cost = %s, eac_annual_acq_cost = %s, eac_eac = %s
+                , updated_by = 'Sys', updated_at = NOW()
+                WHERE equipment_id = %s AND tahun = %s;
+                """
+                cursor.execute(update_query, (final_value, pmt_value, pmt_aq_cost, eac, equipment_id, row['tahun']))
+
+                last_seq = row['seq']
+                last_npv = final_value
+
+            # Commit perubahan
+            connection.commit()
+
+            # Query untuk mendapatkan data dengan seq dan is_actual = 0
+            query_data_proyeksi = """
+            SELECT equipment_id, tahun, seq, is_actual, rc_total_cost
+            FROM lcc_tr_data
+            WHERE is_actual = 0
+            ORDER BY seq;
+            """
+            cursor.execute(query_data_proyeksi)
+            data_proyeksi = cursor.fetchall()
+            cumulative_values = []
+
+            # Menghitung NPV dan PMT secara bertahap untuk data proyeksi
+            for idx, row in enumerate(data_proyeksi):
+                cumulative_values.append(row['rc_total_cost'])
+                npv_value = sum(value / ((1 + inflation_rate) ** (i + 1)) for i, value in enumerate(cumulative_values))
+                pv_value = npf.pv(inflation_rate, last_seq, 0, npv_value)
+                final_value = -pv_value + last_npv
+                # Menghitung PMT
+                pmt_value = -npf.pmt(inflation_rate, row['seq'], final_value)
+                pmt_aq_cost = -npf.pmt(disc_rate, row['seq'], rc_total_cost_0)
+                eac = pmt_value + pmt_aq_cost
+
+                npv_results.append({
+                    'seq': row['seq'],
+                    'year': row['tahun'],
+                    'npv': final_value,
+                    'pmt': pmt_value,
+                    'pmt_aq_cost': pmt_aq_cost,
+                    'eac': eac,
+                    'is_actual': 0
+                })
+
+                # Update lcc_tr_data
+                update_query = """
+                UPDATE lcc_tr_data
+                SET eac_npv = %s, eac_annual_mnt_cost = %s, eac_annual_acq_cost = %s, eac_eac = %s
+                , updated_by = 'Sys', updated_at = NOW()
+                WHERE equipment_id = %s AND tahun = %s;
+                """
+                cursor.execute(update_query, (final_value, pmt_value, pmt_aq_cost, eac, equipment_id, row['tahun']))
+
+            # Commit perubahan
+            connection.commit()
+
+            # Menutup koneksi
+            cursor.close()
+            connection.close()
+
+            # Menampilkan hasil
+            for result in npv_results:
+                print(
+                    f"Seq: {result['seq']}, Is Actual: {result['is_actual']}, NPV: {result['npv']:.2f}, PMT: {result['pmt']:.2f}, AQ_COST: {result['pmt_aq_cost']:.2f}, EAC: {result['eac']:.2f}")
+
+            return npv_results
+
+        except Exception as e:
+            print("Terjadi kesalahan:", str(e))
+
+    # ======================================================================================================================================================
+
+    def hitung_eac_equipment(self, p_equipment_id):
+        try:
+            # Mendapatkan koneksi dari config.py
+            connection = get_connection()
+            if connection is None:
+                print("Koneksi ke database gagal.")
+                return None
+
+            cursor = connection.cursor(cursor_factory=DictCursor)
+
+            rslt = self.__calculate_npv_with_db_inflation_rate(p_equipment_id)
+
+            lowest_eac_record = min(rslt, key=lambda x: x['eac'])
+            print(json.dumps(lowest_eac_record))
+            # Update lcc_tr_data
+            update_query = """
+                UPDATE lcc_ms_equipment_data
+                SET min_eac_info = %s, updated_by = 'Sys', updated_at = NOW()
+                WHERE equipment_id = %s;
+                """
+            cursor.execute(update_query, (json.dumps(lowest_eac_record), p_equipment_id))
+
+            connection.commit()
+            cursor.close()
+            connection.close()
+
+        except Exception as e:
+            print("Terjadi kesalahan saat memproses semua equipment:", str(e))
diff --git a/src/modules/Prediksi.py b/src/modules/Prediksi.py
new file mode 100644
index 0000000..2428b2e
--- /dev/null
+++ b/src/modules/Prediksi.py
@@ -0,0 +1,367 @@
+import pandas as pd
+import numpy as np
+import numpy_financial as npf  # Gunakan numpy-financial untuk fungsi keuangan
+from statsmodels.tsa.holtwinters import ExponentialSmoothing
+from sklearn.linear_model import LinearRegression
+from sklearn.tree import DecisionTreeRegressor
+import matplotlib.pyplot as plt
+from uuid import uuid4
+from modules.config import get_connection
+from psycopg2.extras import DictCursor
+
+class Prediksi:
+    def __init__(self):
+        pass
+
+    # Fungsi untuk mengambil data dari database
+    def __get_param(self, equipment_id):
+        try:
+            # Mendapatkan koneksi dari config.py
+            connection = get_connection()
+            if connection is None:
+                print("Koneksi ke database gagal.")
+                return None
+            # Membuat cursor menggunakan DictCursor
+            cursor = connection.cursor(cursor_factory=DictCursor)
+            # Query untuk mendapatkan data
+            query = """
+            SELECT 
+                (select COALESCE(forecasting_target_year, 2060) from lcc_ms_equipment_data where equipment_id = %s) AS forecasting_target_year
+            """
+            cursor.execute(query, (equipment_id,))
+            par1 = cursor.fetchone()
+            return par1["forecasting_target_year"]
+
+        except Exception as e:
+            print(f"Error saat mengambil data dari database: {e}")
+            return None
+
+        finally:
+            if connection:
+                connection.close()
+
+    # Fungsi untuk mengambil data dari database
+    def __fetch_data_from_db(self, equipment_id):
+        try:
+            # Mendapatkan koneksi dari config.py
+            connection = get_connection()
+            if connection is None:
+                print("Koneksi ke database gagal.")
+                return None
+
+            # Membuat cursor menggunakan DictCursor
+            cursor = connection.cursor(cursor_factory=DictCursor)
+
+            # Query untuk mendapatkan data
+            query = """
+            SELECT 
+                tahun AS year, 
+                raw_cm_interval AS cm_interval,
+                raw_cm_material_cost AS cm_cost, 
+                raw_cm_labor_time AS cm_labor_time,
+                raw_cm_labor_human AS cm_labor_human,
+                raw_pm_material_cost AS pm_cost,
+                raw_pm_labor_time AS pm_labor_time,
+                raw_pm_labor_human AS pm_labor_human,
+                raw_oh_material_cost AS oh_cost,
+                raw_oh_labor_time AS oh_labor_time,
+                raw_oh_labor_human AS oh_labor_human,
+                "raw_loss_output_MW" AS loss_output_mw,
+                raw_loss_output_price AS loss_price
+            FROM lcc_tr_data
+            WHERE equipment_id = %s
+            and is_actual=1
+            ;
+            """
+            cursor.execute(query, (equipment_id,))
+
+            # Mengambil hasil dan mengonversi ke DataFrame pandas
+            data = cursor.fetchall()
+            columns = [desc[0] for desc in cursor.description]  # Mengambil nama kolom dari hasil query
+            df = pd.DataFrame(data, columns=columns)
+            return df
+
+        except Exception as e:
+            print(f"Error saat mengambil data dari database: {e}")
+            return None
+
+        finally:
+            if connection:
+                connection.close()
+
+    # Fungsi untuk prediksi menggunakan Future Value (FV)
+    def __future_value_predict(self, rate, nper, pmt, pv, years):
+        # Hitung Future Value untuk tahun-tahun proyeksi
+        fv_values = []
+        for i in range(len(years)):
+            fv = npf.fv(rate, nper + i, pmt, pv)  # Menggunakan numpy_financial.fv
+            fv_values.append(fv)
+        return fv_values
+
+    # Fungsi untuk menghapus data proyeksi pada tahun tertentu
+    def __delete_predictions_from_db(self, equipment_id):
+        try:
+            connection = get_connection()
+            if connection is None:
+                print("Koneksi ke database gagal.")
+                return
+
+            cursor = connection.cursor()
+
+            # Query untuk menghapus data berdasarkan tahun proyeksi
+            delete_query = """
+            DELETE FROM lcc_tr_data
+            WHERE equipment_id = %s AND is_actual = 0;
+            """  # Asumsikan kolom is_actual digunakan untuk membedakan data proyeksi dan data aktual
+
+            # Eksekusi query delete
+            cursor.execute(delete_query, (equipment_id,))
+            connection.commit()
+            print(f"Data proyeksi untuk tahun {equipment_id} berhasil dihapus.")
+
+        except Exception as e:
+            print(f"Error saat menghapus data proyeksi dari database: {e}")
+
+        finally:
+            if connection:
+                connection.close()
+
+    # Fungsi untuk menyimpan data proyeksi ke database
+    def __insert_predictions_to_db(self, data, equipment_id):
+        try:
+            connection = get_connection()
+            if connection is None:
+                print("Koneksi ke database gagal.")
+                return
+
+            cursor = connection.cursor()
+
+            # Query untuk mendapatkan nilai maksimum seq
+            get_max_seq_query = """
+            SELECT COALESCE(MAX(seq), 0) FROM lcc_tr_data WHERE equipment_id = %s
+            """
+            cursor.execute(get_max_seq_query, (equipment_id,))
+            max_seq = cursor.fetchone()[0]
+
+            # Query untuk insert data
+            insert_query = """
+            INSERT INTO lcc_tr_data (
+                id,
+                seq,
+                is_actual,
+                raw_pm_interval,
+                tahun, equipment_id, 
+                raw_cm_interval, raw_cm_material_cost, raw_cm_labor_time, raw_cm_labor_human,
+                raw_pm_material_cost, raw_pm_labor_time, raw_pm_labor_human,
+                raw_oh_material_cost, raw_oh_labor_time, raw_oh_labor_human,
+                "raw_loss_output_MW", raw_loss_output_price
+                , created_by, created_at
+            ) VALUES (
+                %s, %s, 0, 1, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, 'Sys', NOW()
+            )
+            """
+
+            # Menyiapkan data untuk batch insert
+            records_to_insert = []
+            for _, row in data.iterrows():
+                max_seq = max_seq + 1
+                records_to_insert.append((
+                    str(uuid4()), max_seq, row["year"], equipment_id,
+                    row["cm_interval"] if row["cm_interval"] >= 1 else 1, row["cm_cost"], row["cm_labor_time"],
+                    row["cm_labor_human"],
+                    row["pm_cost"], row["pm_labor_time"], row["pm_labor_human"],
+                    row["oh_cost"], row["oh_labor_time"], row["oh_labor_human"],
+                    row["loss_output_mw"], row["loss_price"]
+                ))
+
+            # Eksekusi batch insert
+            cursor.executemany(insert_query, records_to_insert)
+            connection.commit()
+            print("Data proyeksi berhasil dimasukkan ke database.")
+
+        except Exception as e:
+            print(f"Error saat menyimpan data ke database: {e}")
+
+        finally:
+            if connection:
+                connection.close()
+
+    # Fungsi untuk menghapus data proyeksi pada tahun tertentu
+    def __update_date_lcc(self, equipment_id):
+        try:
+            connection = get_connection()
+            if connection is None:
+                print("Koneksi ke database gagal.")
+                return
+
+            cursor = connection.cursor()
+
+            # Query untuk menghapus data berdasarkan tahun proyeksi
+            up_query = """
+            update lcc_tr_data
+            set 
+            rc_cm_material_cost = raw_cm_material_cost
+            ,rc_cm_labor_cost = (raw_cm_interval * raw_cm_labor_time * raw_cm_labor_human * COALESCE((SELECT man_hour FROM lcc_ms_year_data WHERE year = lcc_tr_data.tahun), coalesce((select value_num from lcc_ms_master where name='manhours_rate'), 0)) )
+            ,rc_pm_material_cost = raw_pm_material_cost
+            ,rc_pm_labor_cost = (raw_pm_labor_time * raw_pm_labor_human * COALESCE((SELECT man_hour FROM lcc_ms_year_data WHERE year = lcc_tr_data.tahun), coalesce((select value_num from lcc_ms_master where name='manhours_rate'), 0)) )
+            ,rc_predictive_labor_cost = COALESCE( (raw_predictive_labor_time * raw_predictive_labor_human * COALESCE((SELECT man_hour FROM lcc_ms_year_data WHERE year = lcc_tr_data.tahun), coalesce((select value_num from lcc_ms_master where name='manhours_rate'), 0)) ) , 0)
+            ,rc_oh_material_cost = raw_oh_material_cost
+            ,rc_oh_labor_cost = (raw_oh_labor_time * raw_oh_labor_human * COALESCE((SELECT man_hour FROM lcc_ms_year_data WHERE year = lcc_tr_data.tahun), coalesce((select value_num from lcc_ms_master where name='manhours_rate'), 0)) )
+            ,rc_project_material_cost = coalesce(raw_project_task_material_cost, 0)
+            ,rc_lost_cost = coalesce(("raw_loss_output_MW" * raw_loss_output_price * raw_cm_interval), 0) * 1000
+            ,rc_operation_cost = coalesce(raw_operational_cost, 0)
+            ,rc_maintenance_cost = coalesce(raw_maintenance_cost, 0)
+            ,rc_total_cost = (
+                raw_cm_material_cost
+                + (raw_cm_interval * raw_cm_labor_time * raw_cm_labor_human * COALESCE((SELECT man_hour FROM lcc_ms_year_data WHERE year = lcc_tr_data.tahun), coalesce((select value_num from lcc_ms_master where name='manhours_rate'), 0)) )
+                + raw_pm_material_cost
+                + (raw_pm_labor_time * raw_pm_labor_human * COALESCE((SELECT man_hour FROM lcc_ms_year_data WHERE year = lcc_tr_data.tahun), coalesce((select value_num from lcc_ms_master where name='manhours_rate'), 0)) )
+                + COALESCE( (raw_predictive_labor_time * raw_predictive_labor_human * COALESCE((SELECT man_hour FROM lcc_ms_year_data WHERE year = lcc_tr_data.tahun), coalesce((select value_num from lcc_ms_master where name='manhours_rate'), 0)) ) , 0)
+                + raw_oh_material_cost
+                + (raw_oh_labor_time * raw_oh_labor_human * COALESCE((SELECT man_hour FROM lcc_ms_year_data WHERE year = lcc_tr_data.tahun), coalesce((select value_num from lcc_ms_master where name='manhours_rate'), 0)) )
+                + coalesce(raw_project_task_material_cost, 0)
+                + coalesce(("raw_loss_output_MW" * raw_loss_output_price * raw_cm_interval), 0) * 1000
+                + coalesce(raw_operational_cost, 0)
+                + coalesce(raw_maintenance_cost, 0)
+            )
+            , updated_by = 'Sys', updated_at = NOW()
+            where equipment_id = %s;
+
+            update lcc_tr_data set rc_total_cost = (select acquisition_cost from lcc_ms_equipment_data where equipment_id=lcc_tr_data.equipment_id) where equipment_id = %s and seq=0;
+            """  # Asumsikan kolom is_actual digunakan untuk membedakan data proyeksi dan data aktual
+
+            # Eksekusi query delete
+            cursor.execute(up_query, (equipment_id, equipment_id))
+            connection.commit()
+            print(f"Data berhasil diupdate.")
+
+        except Exception as e:
+            print(f"Error saat update data proyeksi dari database: {e}")
+
+        finally:
+            if connection:
+                connection.close()
+
+    # Fungsi untuk mengambil parameter dari database
+    def __get_rate_and_max_year(self, equipment_id):
+        try:
+            connection = get_connection()
+            if connection is None:
+                print("Koneksi ke database gagal.")
+                return None, None
+
+            cursor = connection.cursor(cursor_factory=DictCursor)
+
+            # Query untuk mendapatkan rate dan max_year
+            query = """
+            SELECT 
+                (SELECT value_num / 100 FROM lcc_ms_master where name='inflation_rate') AS rate,
+                (SELECT MAX(tahun) FROM lcc_tr_data WHERE is_actual = 1 AND equipment_id = %s) AS max_year
+            """
+            cursor.execute(query, (equipment_id,))
+            result = cursor.fetchone()
+
+            # Debug hasil query
+            print(f"Result: {result}")
+
+            rate = result["rate"]
+            max_year = result["max_year"]
+
+            # Validasi nilai rate dan max_year
+            if rate is None:
+                raise Exception("Nilai 'rate' tidak boleh kosong. Periksa tabel 'lcc_ms_master'.")
+            if max_year is None:
+                raise Exception("Nilai 'max_year' tidak boleh kosong. Periksa tabel 'lcc_tr_data'.")
+
+            return rate, max_year
+
+        except Exception as e:
+            print(f"Error saat mendapatkan parameter dari database: {e}")
+            raise  # Lempar kembali exception agar program berhenti
+
+        finally:
+            if connection:
+                connection.close()
+
+    # ======================================================================================================================================================
+
+    def predict_equipment_data(self, p_equipment_id):
+        try:
+            # Mengambil data dari database
+            df = self.__fetch_data_from_db(p_equipment_id)
+
+            if df is None:
+                print("Data tidak tersedia untuk prediksi.")
+                return
+
+            # Mendapatkan tahun proyeksi dari DB
+            par_tahun_target = self.__get_param(p_equipment_id)
+
+            # Tahun proyeksi
+            future_years = list(range(df["year"].max() + 1, par_tahun_target + 1))
+
+            # Hasil prediksi
+            predictions = {"year": future_years}
+
+            # Fungsi untuk prediksi menggunakan Linear Regression
+            def linear_regression_predict(column, years):
+                x = df["year"].values.reshape(-1, 1)
+                y = df[column].fillna(0).values
+                model = LinearRegression()
+                model.fit(x, y)
+                future_x = np.array(years).reshape(-1, 1)
+                preds = model.predict(future_x)
+                return np.abs(preds)
+
+            # Fungsi untuk prediksi menggunakan Exponential Smoothing
+            def exponential_smoothing_predict(column, years):
+                data_series = df[column].fillna(0).values
+                model = ExponentialSmoothing(data_series, trend="add", seasonal=None, seasonal_periods=None)
+                model_fit = model.fit()
+                preds = model_fit.forecast(len(years))
+                return np.abs(preds)
+
+            # Fungsi untuk prediksi menggunakan Decision Tree
+            def decision_tree_predict(column, years):
+                x = df["year"].values.reshape(-1, 1)
+                y = df[column].fillna(0).values
+                model = DecisionTreeRegressor()
+                model.fit(x, y)
+                future_x = np.array(years).reshape(-1, 1)
+                preds = model.predict(future_x)
+                return np.abs(preds)
+
+            # Mendapatkan rate dan tahun maksimal
+            rate, max_year = self.__get_rate_and_max_year(p_equipment_id)
+            pmt = 0
+
+            # Prediksi untuk setiap kolom
+            for column in df.columns:
+                if column != "year":
+                    if "cost" in column.lower():
+                        # Prediksi Future Value
+                        nper = max_year - df["year"].max()
+                        pv = -df[column].iloc[-1]
+                        predictions[column] = self.__future_value_predict(rate, nper, pmt, pv, future_years)
+                    elif df[column].nunique() < 5:
+                        predictions[column] = exponential_smoothing_predict(column, future_years)
+                    elif df[column].isnull().sum() > 0:
+                        predictions[column] = decision_tree_predict(column, future_years)
+                    else:
+                        predictions[column] = linear_regression_predict(column, future_years)
+
+            # Konversi hasil ke DataFrame
+            predictions_df = pd.DataFrame(predictions)
+
+            # Hapus data prediksi yang ada sebelumnya
+            self.__delete_predictions_from_db(p_equipment_id)
+
+            # Insert hasil prediksi ke database
+            self.__insert_predictions_to_db(predictions_df, p_equipment_id)
+
+            # Update data untuk total RiskCost per tahun
+            self.__update_date_lcc(p_equipment_id)
+
+        except Exception as e:
+            print(f"Program dihentikan: {e}")
+
diff --git a/src/modules/__pycache__/Eac.cpython-312.pyc b/src/modules/__pycache__/Eac.cpython-312.pyc
new file mode 100644
index 0000000..d63f4fb
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diff --git a/src/modules/__pycache__/Prediksi.cpython-312.pyc b/src/modules/__pycache__/Prediksi.cpython-312.pyc
new file mode 100644
index 0000000..9818105
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diff --git a/src/modules/__pycache__/config.cpython-310.pyc b/src/modules/__pycache__/config.cpython-310.pyc
new file mode 100644
index 0000000..4a6d56f
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diff --git a/src/modules/__pycache__/config.cpython-312.pyc b/src/modules/__pycache__/config.cpython-312.pyc
new file mode 100644
index 0000000..cbfa385
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diff --git a/src/modules/config.py b/src/modules/config.py
new file mode 100644
index 0000000..cb4ff54
--- /dev/null
+++ b/src/modules/config.py
@@ -0,0 +1,24 @@
+import psycopg2
+
+def get_connection():
+    try:
+        # Konfigurasi koneksi database
+
+        # connection = psycopg2.connect(
+        #     host="localhost",
+        #     port=5432,
+        #     database="postgres",
+        #     user="postgres",
+        #     password="ariwa"
+        # )
+        connection = psycopg2.connect(
+            dbname = "digital_twin",
+            user = "postgres",
+            password = "postgres",
+            host = "192.168.1.85",
+            port = "5432"
+        )
+        return connection
+    except Exception as e:
+        print("Error saat koneksi ke database:", e)
+        return None
diff --git a/src/modules/plant/hasil/wlc.xlsx b/src/modules/plant/hasil/wlc.xlsx
new file mode 100644
index 0000000..2656fc6
Binary files /dev/null and b/src/modules/plant/hasil/wlc.xlsx differ
diff --git a/src/modules/plant/run.py b/src/modules/plant/run.py
new file mode 100644
index 0000000..ff6eb51
--- /dev/null
+++ b/src/modules/plant/run.py
@@ -0,0 +1,343 @@
+import subprocess
+
+import openpyxl
+from openpyxl.utils import get_column_letter
+from openpyxl.styles import PatternFill
+from datetime import datetime
+import time
+import sys
+import os
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+from config import get_connection
+ROOT_DIR = os.path.abspath(os.path.dirname(__file__))
+file_ref = f"{ROOT_DIR}/wlc.xlsx"
+file_hasil = f"{ROOT_DIR}/hasil/wlc.xlsx"
+
+start_time = time.time()
+
+conn = get_connection()
+if conn is None:
+    print("Koneksi ke database gagal.")
+    sys.exit(1)
+
+cur = conn.cursor()
+
+
+# Fungsi untuk mengambil data dari PostgreSQL
+def fetch_data_from_postgresql(q=""):
+    try:
+        cur.execute(q)  # Jalankan query yang diberikan
+        col_names = [desc[0] for desc in cur.description]  # Ambil nama kolom
+        rows = cur.fetchall()  # Ambil semua baris data
+
+        # Buat list dictionary berdasarkan nama kolom
+        result = [dict(zip(col_names, row)) for row in rows]
+        return result
+    except Exception as e:
+        print(f"Error: {e}")
+        return None
+
+def insert_and_shift_right(file_path, sheet_name):
+    # Load workbook and select sheet
+    wb = openpyxl.load_workbook(file_path)
+    sheet = wb[sheet_name]
+
+    # Get the last two columns
+    max_col = sheet.max_column
+    last_two_cols = [max_col - 1, max_col]
+
+    # Insert a new column after the last two columns
+    new_col_idx = max_col + 1
+    sheet.insert_cols(new_col_idx)
+
+    # Shift formulas, values, and styles
+    for row in range(1, sheet.max_row + 1):
+        for col in last_two_cols:
+            current_cell = sheet.cell(row=row, column=col)
+            current_value = current_cell.value
+            if isinstance(current_value, str) and current_value.startswith("="):
+                # Adjust formula to the new column
+                formula = current_value.replace(get_column_letter(col), get_column_letter(new_col_idx))
+                sheet.cell(row=row, column=new_col_idx, value=formula)
+            else:
+                sheet.cell(row=row, column=new_col_idx, value=current_value)
+
+            # Copy cell style (fill color)
+            new_cell = sheet.cell(row=row, column=new_col_idx)
+            if current_cell.fill:
+                new_cell.fill = PatternFill(start_color=current_cell.fill.start_color.rgb,
+                                           end_color=current_cell.fill.end_color.rgb,
+                                           fill_type=current_cell.fill.fill_type)
+
+    # Save workbook with changes
+    wb.save(file_path)
+    print(f"Column inserted and shifted to the right in {file_path}")
+
+
+def insert_column_data(file_path, sheet_name, col_name, data):
+    """
+    Memasukkan data ke Excel per kolom.
+
+    Args:
+        file_path (str): Path file Excel.
+        sheet_name (str): Nama sheet Excel.
+        col_name (str): Nama kolom untuk dicari di baris pertama.
+        data (dict): Data yang akan dimasukkan, dengan kunci adalah baris (row_name) dan nilai adalah isi sel.
+    """
+    # Load workbook dan pilih sheet
+    wb = openpyxl.load_workbook(file_path, data_only=False)
+    sheet = wb[sheet_name]
+
+    # Temukan indeks kolom berdasarkan col_name di baris pertama
+    col_index = None
+    for col in range(1, sheet.max_column + 1):
+        if sheet.cell(row=1, column=col).value == col_name:
+            col_index = col
+            break
+
+    # Jika kolom ditemukan, masukkan data per baris
+    if col_index:
+        for row_name, value in data.items():
+            row_index = None
+            # Cari indeks baris berdasarkan nama di kolom pertama
+            for row in range(2, sheet.max_row + 1):  # Mulai dari baris ke-2 untuk menghindari header
+                if sheet.cell(row=row, column=1).value == row_name:
+                    row_index = row
+                    break
+            # Isi nilai jika baris ditemukan
+            if row_index:
+                sheet.cell(row=row_index, column=col_index, value=value)
+    else:
+        print(f"Column name '{col_name}' not found in the sheet.")
+
+    # Simpan workbook setelah semua data kolom dimasukkan
+    wb.save(file_path)
+    wb.close()
+    wb.save(file_path)
+
+def insert_param(file_path):
+    wb = openpyxl.load_workbook(file_path, data_only=False)
+    sheet = wb["Params"]
+    col_name = "Value"
+
+    # Temukan indeks kolom berdasarkan col_name di baris pertama
+    col_index = None
+    for col in range(1, sheet.max_column + 1):
+        if sheet.cell(row=1, column=col).value == col_name:
+            col_index = col
+            break
+
+    query = """SELECT 
+        value_str, 
+        CASE 
+            WHEN unit_of_measurement = '%' THEN value_num / 100 
+            ELSE value_num 
+        END AS value_num
+        FROM lcc_ms_master"""
+    data_map = fetch_data_from_postgresql(query)
+    mapping_data = {}
+
+    for item in data_map:
+        mapping_data[item['value_str']] = round(item['value_num'], 2)
+
+    # Jika kolom ditemukan, masukkan data per baris
+    if col_index:
+        for row in range(2, sheet.max_row + 1):  # Mulai dari baris ke-2 untuk menghindari header
+            param_name = sheet.cell(row=row, column=1).value  # Kolom 1 == value_str
+            if param_name in mapping_data:
+                sheet.cell(row=row, column=col_index, value=mapping_data[param_name])
+    else:
+        print(f"Params: Baris name '{col_name}' not found in the sheet.")
+
+    # Simpan workbook setelah semua data diperbarui
+    wb.save(file_path)
+    wb.close()
+
+def get_abjad(i):
+    if i < 0:
+        raise ValueError("Indeks harus berupa angka 0 atau lebih.")
+    result = ""
+    while i >= 0:
+        i, remainder = divmod(i, 26)
+        result = chr(65 + remainder) + result
+        i -= 1  # Mengurangi 1 untuk menangani offset ke basis 0
+    return result
+def validate_number(n):
+    return n if n is not None else 0
+
+# Example usage
+# insert_and_shift_right(file_ref, "Calc")
+
+
+
+
+
+
+
+# ====================================================== 00000 =================================================
+# =============================================== SET DATA KE EXCEL =================================================
+# ====================================================== 00000 =================================================
+# insert PARAM
+insert_param(file_ref)
+print("Insert Params Sukses")
+
+# Pengolahan data dari PostgreSQL
+current_year = datetime.now().year
+query = "SELECT * FROM lcc_plant_tr_data ORDER BY seq"
+data = fetch_data_from_postgresql(query)
+if data:
+    for record in data:
+        # print(f"Processing column for year {record['tahun']}")
+
+        # Kumpulkan semua data untuk satu kolom
+        col_data = {}
+
+        # Tambahkan data tambahan berdasarkan kondisi
+        if record['is_actual'] == 1:
+            col_data.update({
+                "Net Capacity Factor": validate_number(record['net_capacity_factor']),
+                "EAF": validate_number(record['eaf']),
+                "Biaya Investasi Tambahan": validate_number(record['cost_a_pinjaman'])/1000000,
+                "O & M Cost": validate_number(record['cost_bd_om'])/1000000,
+                "Periodic Maintenance Cost (Non MI)": validate_number(record['cost_bd_pm_nonmi'])/1000000,
+
+                "Production (Bruto)": validate_number(record['production_bruto']),
+                "Production (Netto)": validate_number(record['production_netto']),
+                "Fuel Consumption": validate_number(record['fuel_consumption']),
+                "Revenue A": validate_number(record['revenue_a'])/1000000,
+                "Revenue B": validate_number(record['revenue_b'])/1000000,
+                "Revenue C": validate_number(record['revenue_c'])/1000000,
+                "Revenue D": validate_number(record['revenue_d'])/1000000,
+                "Fuel Cost": validate_number(record['cost_c_fuel'])/1000000
+            })
+        else:
+            seq_offset = record['seq'] + 2
+            col_data.update({
+                "Net Capacity Factor": validate_number(record['net_capacity_factor']),
+                "EAF": validate_number(record['eaf']),
+                "Biaya Investasi Tambahan": validate_number(record['cost_a_pinjaman'])/1000000,
+                "O & M Cost": validate_number(record['cost_bd_om'])/1000000,
+                "Periodic Maintenance Cost (Non MI)": validate_number(record['cost_bd_pm_nonmi'])/1000000,
+
+                "Production (Bruto)": f"={get_abjad(seq_offset)}7/(100-SUM(Params!$C$16:$C$17))*100",
+                "Production (Netto)": f"={get_abjad(seq_offset)}4*8760*Params!$C$15/100",
+                "Fuel Consumption": f"={get_abjad(seq_offset)}6*Params!$C$18",
+                "Revenue A": f"=(Params!$C$19*{get_abjad(seq_offset)}5*Params!$C$15*1000*12/100)/1000000",
+                "Revenue B": f"=(Params!$C$20*{get_abjad(seq_offset)}5*Params!$C$15*1000*12/100)/1000000",
+                "Revenue C": f"=Params!$C$21*{get_abjad(seq_offset)}7*1000/1000000",
+                "Revenue D": f"=Params!$C$22*{get_abjad(seq_offset)}7*1000/1000000",
+                "Fuel Cost": f"={get_abjad(seq_offset)}9*Params!$C$23/10^6"
+            })
+
+        # Masukkan data ke Excel
+        insert_column_data(file_ref, "Calc", record['tahun'], col_data)
+else:
+    print("No data found.")
+
+
+
+
+
+
+
+# ====================================================== 00000 =================================================
+# =============================================== SIMPAN UNTUK CHART =================================================
+# ====================================================== 00000 =================================================
+# Mapping dari kolom Excel ke nama kolom database sesuai gambar 2
+
+libreoffice_path = "soffice"  # Sesuaikan dengan lokasi di Linux/Windows
+command = f'"{libreoffice_path}" --headless --convert-to xlsx {file_ref} --outdir {ROOT_DIR}/hasil'
+subprocess.run(command, shell=True, check=True)
+
+print("recalculate OK")
+
+# def read_excel_with_pandas(file_path, sheet_name):
+#     df = pd.read_excel(file_path, sheet_name=sheet_name, engine='openpyxl')
+#     print(df.head())  # Periksa apakah nilai diambil dengan benar
+# read_excel_with_pandas(f"{file_hasil}", "Upload")
+#
+
+column_mapping = {
+    "Total Revenue": "chart_total_revenue",
+    "Revenue A": "chart_revenue_a",
+    "Revenue B": "chart_revenue_b",
+    "Revenue C": "chart_revenue_c",
+    "Revenue D": "chart_revenue_d",
+    "Revenue Annualized": "chart_revenue_annualized",
+    "Fuel Cost (Component C)": "chart_fuel_cost_component_c",
+    "Fuel Cost": "chart_fuel_cost",
+    "Fuel Cost Annualized": "chart_fuel_cost_annualized",
+    "O and M Cost (Component B and D)": "chart_oem_component_bd",
+    "O and M Cost": "chart_oem_bd_cost",
+    "Periodic Maintenance Cost (NonMI)": "chart_oem_periodic_maintenance_cost",
+    "O and M Cost Annualized": "chart_oem_annualized",
+    "Capex (Component A)": "chart_capex_component_a",
+    "Biaya Investasi Tambahan": "chart_capex_biaya_investasi_tambahan",
+    "Acquisition Cost": "chart_capex_acquisition_cost",
+    "Capex Annualized": "chart_capex_annualized"
+}
+# Fungsi untuk memperbarui database
+def update_database_from_excel():
+    # Buka koneksi ke PostgreSQL
+
+    try:
+        # Load workbook dan pilih sheet
+        wb = openpyxl.load_workbook(f"{file_hasil}", data_only=True)
+        sheet = wb["Upload"]
+
+        # Ambil tahun dari baris pertama mulai dari kolom ketiga
+        years = [sheet.cell(row=1, column=col).value for col in range(3, sheet.max_column + 1)]
+
+        # Loop melalui setiap baris di Excel mulai dari baris kedua
+        for row in range(2, sheet.max_row + 1):
+            row_name = sheet.cell(row=row, column=1).value  # Nama data di kolom pertama
+            row_name = row_name if row_name else sheet.cell(row=row,column=2).value  # Nama data di kolom kedua jika kolom pertama kosong
+            db_column = column_mapping.get(row_name)
+
+
+            if db_column:
+                for col_index, year in enumerate(years, start=3):  # Iterasi mulai dari kolom ke-3
+                    value = sheet.cell(row=row, column=col_index).value
+
+                    if value is None:
+                        continue
+
+                    # Lakukan update data ke database
+                    query = f"""
+                        UPDATE lcc_plant_tr_data
+                        SET {db_column} = %s
+                        WHERE tahun = %s
+                    """
+                    seq = sheet.cell(row=row, column=2).value  # Ambil seq dari kolom kedua jika dibutuhkan
+                    cur.execute(query, (value, year))  # Jalankan query dengan parameter
+
+        conn.commit()
+        print("Data successfully updated in database.")
+
+    except Exception as e:
+        conn.rollback()
+        print(f"Error: {e}")
+update_database_from_excel()
+
+
+
+
+
+
+
+
+
+cur.close()
+conn.close()
+
+end_time = time.time()
+elapsed_time = end_time - start_time
+minutes = int(elapsed_time // 60)
+seconds = int(elapsed_time % 60)
+# Cetak hasil
+print(f"Execution time: {minutes} minutes and {seconds} seconds")
+
+
+
+
+
diff --git a/src/modules/plant/wlc.xlsx b/src/modules/plant/wlc.xlsx
new file mode 100644
index 0000000..df5a581
Binary files /dev/null and b/src/modules/plant/wlc.xlsx differ
diff --git a/src/plant_transaction_data/service.py b/src/plant_transaction_data/service.py
index cafe417..86d3ac6 100644
--- a/src/plant_transaction_data/service.py
+++ b/src/plant_transaction_data/service.py
@@ -1,3 +1,8 @@
+import asyncio
+import os
+import logging
+from subprocess import PIPE
+
 from sqlalchemy import Select, Delete, cast, String
 from .model import PlantTransactionData
 from .schema import PlantTransactionDataCreate, PlantTransactionDataUpdate
@@ -7,6 +12,8 @@ from typing import Optional
 from src.database.core import DbSession
 from src.auth.service import CurrentUser
 
+logger = logging.getLogger(__name__)
+
 
 async def get(
     *, db_session: DbSession, transaction_data_id: str
@@ -59,6 +66,41 @@ async def create(
     transaction_data = PlantTransactionData(**transaction_data_in.model_dump())
     db_session.add(transaction_data)
     await db_session.commit()
+
+    # Get the directory of the current file
+    # directory_path = "../modules/plant"
+    directory_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '../modules/plant'))
+
+    # Construct path to the script
+    script_path = os.path.join(directory_path, "run.py")
+
+    if not os.path.exists(script_path):
+        logger.error(f"Script not found at path: {script_path}")
+        raise FileNotFoundError(f"Script not found at path: {script_path}")
+
+    # Execute script
+    try:
+        process = await asyncio.create_subprocess_exec(
+            "python",
+            script_path,
+            stdout=PIPE,
+            stderr=PIPE,
+            cwd=directory_path
+        )
+        stdout, stderr = await process.communicate()
+
+        if process.returncode != 0:
+            error_message = stderr.decode()
+            logger.error(f"Script execution failed: {error_message}")
+            # Depending on your requirements, you might want to raise an exception here
+        else:
+            logger.info(f"Script executed successfully: {stdout.decode()}")
+
+    except asyncio.SubprocessError as e:
+        logger.error(f"Failed to execute script: {e}")
+        raise Exception(f"Failed to execute script: {e}")
+        # Handle subprocess error appropriately
+
     return transaction_data