modificando archivos

Author: psanchezp31

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/

Json sprint 2/G1M2_E9_Sprint2.postman_collection.json G1M2_E9_Sprint2.postman_collection.json

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+web: uvicorn main:api --host=0.0.0.0 --port=${PORT:-5000}

Procfile

@@ -1,75 +1,70 @@
 ##################imports##################################
 
-from typing import Dict             #tipado de datos (ej: str, int, boolean, etc.)
-from pydantic import BaseModel      #validación de datos (?)
-from datetime import datetime       #función para el tipo de dato DATE, DATETIME
-
+from typing import Dict  # tipado de datos (ej: str, int, boolean, etc.)
+from pydantic import BaseModel  # validación de datos (?)
+from datetime import datetime  # función para el tipo de dato DATE, DATETIME
+from datetime import date
 ###########definición de el objeto record##################
 
+
 class RecordInDB(BaseModel):
-    id: int = 0                                 #AUTOINCREMENTAL
-    categoria: str                              #e.g. HEALTH, PETS, FOOD, SALARY
-    tipo: str                                   #EXPENSES OR INCOME
-    cantidad: float                               #e.g. $ 150.000
-    fecha_registro: datetime = datetime.now()   #revise
+    id: int = 0  # AUTOINCREMENTAL
+    categoria: str  # e.g. HEALTH, PETS, FOOD, SALARY
+    tipo: str  # EXPENSES OR INCOME
+    cantidad: float  # e.g. $ 150.000
+    fecha_registro: date  # revise
 
 #################base de datos################################
 
+
 database_records = Dict[int, RecordInDB]
 database_records = {
-    "1": RecordInDB(**{"id":"1",
-                            "categoria":"salary",
-                            "tipo":"income",
-                            "cantidad": 3000000,
-                            "fecha_registro": 2018-12-19  
-                            }),
-    "2": RecordInDB(**{"id":"2",
-                            "categoria":"groceries",
-                            "tipo":"expense",
-                            "cantidad": 150000,
-                            "fecha_registro": 2018-12-23  
-                            }),
-    "3": RecordInDB(**{"id":"3",
-                            "categoria":"healthcare",
-                            "tipo":"expense",
-                            "cantidad": 45000,
-                            "fecha_registro": 2018-12-24  
-                            }),
-
-    "4": RecordInDB(**{"id":"4",
-                            "categoria":"pet grooming",
-                            "tipo":"expense",
-                            "cantidad": 500000,
-                            "fecha_registro": 2018-12-25  
-                            }),
-
-    "5": RecordInDB(**{"id":"5",
-                            "categoria":"mortage",
-                            "tipo":"expense",
-                            "cantidad": 150000,
-                            "fecha_registro": 2018-12-26  
-                            }),
+    1: RecordInDB(**{"id": 1,
+                     "categoria": "salary",
+                     "tipo": "income",
+                     "cantidad": 3000000,
+                     "fecha_registro": datetime(2018, 12, 19).date()
+                     }),
+    2: RecordInDB(**{"id": 2,
+                     "categoria": "groceries",
+                     "tipo": "expense",
+                     "cantidad": 150000,
+                     "fecha_registro": datetime(2018, 12, 23).date()
+                     }),
+    3: RecordInDB(**{"id": 3,
+                     "categoria": "healthcare",
+                     "tipo": "expense",
+                     "cantidad": 45000,
+                     "fecha_registro": datetime(2018, 12, 19).date()
+                     }),
+
+    4: RecordInDB(**{"id": 4,
+                     "categoria": "pet grooming",
+                     "tipo": "expense",
+                     "cantidad": 500000,
+                     "fecha_registro": datetime(2018, 12, 25).date()
+                     }),
+
+    5: RecordInDB(**{"id": 5,
+                     "categoria": "mortage",
+                     "tipo": "expense",
+                     "cantidad": 150000,
+                     "fecha_registro": datetime(2018, 12, 26).date()
+                     }),
 }
 
 
-}
-
 ##############métodos para el POST y el GET###################
+generator = {"id":5}  # AUTOINCREMENTAL
 
-generator ={"id"=0}                         #AUTOINCREMENTAL
-
-def save_record(record_in_db: RecordInDB):  #CREATE RECORD (POST)
-    generator["id"] = generator ["id"] + 1 
+def save_record(record_in_db: RecordInDB):  # CREATE RECORD (POST)
+    generator["id"] = generator["id"] + 1
     record_in_db.id = generator["id"]
-    database_records.append(record_in_db)
+    database_records[record_in_db.id] = record_in_db
     return record_in_db
 
-def get_record():                           #READ RECORD (GET)
-    if categoria in database_records.keys():
-        return database_records[categoria]
+def get_record(id: int):  # READ RECORD (GET)
+    if id in database_records.keys():
+        return database_records[id]
     else:
         return None
-
-
-
-

__init__.py

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+from db.record_db import RecordInDB
+from db.record_db import save_record, get_record
+
+from models.record_models import RecordIn, RecordOut
+
+import datetime
+from fastapi import FastAPI
+from fastapi import HTTPException
+
+api = FastAPI()
+
+
+@api.post("/record")
+async def create_record(record_in: RecordIn):
+    record_in_db = RecordInDB(**record_in.dict())
+    record_in_db = save_record(record_in_db)
+
+    record_out = RecordOut(**record_in_db.dict())
+
+    return record_out
+
+
+@api.get("/record/{id}")
+async def get_balance(id: int):
+
+    record_in_db = get_record(id)
+
+    if record_in_db == None:
+        raise HTTPException(status_code=404, detail="El registro no existe")
+
+    record_out = RecordOut(**record_in_db.dict())
+    record_out.fecha_registro = record_in_db.fecha_registro.strftime("%Y-%m-%d")
+
+    return record_out

__pycache__/main.cpython-38.pyc

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+##################imports##################################
+
+from pydantic import BaseModel              #validación de datos (?)
+from datetime import datetime               #función para el tipo de dato DATE, DATETIME
+from datetime import date
+
+class RecordIn (BaseModel):
+    categoria: str
+    tipo: str 
+    cantidad: float
+    fecha_registro: date #revise
+
+class RecordOut (BaseModel):
+    id: int = 0 
+    categoria: str
+    tipo: str 
+    cantidad: float
+    fecha_registro: date #revise

db/__init__.py

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+fastapi==0.62.0
+uvicorn==0.12.3
+pydantic==1.7.3