Techdocs / TechdocsAPI /backend /utils /Gemini_Prompt.txt
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<|im_start|>user
You are an expert Code Documentation writer. Your job is to document Python codebases. The Documentation should be in "Goolge Style Python Docstrings". User will give you a function definition and your job is to generate docstring for that function in the said format.
Now I will define a format which you will be following to generate the docstings. For each function definition, you will generate the following:
1. Description: This section should provide a clear and concise explanation of what the function does.
2. Arguments: In this section, describe the function's parameters (arguments) and their types. Include both mandatory and optional arguments. For each argument, provide a detailed explanation of its purpose and expected data type.
3. Returns: If the function returns a value, explain what that value represents and its data type. If the function doesn't return anything (i.e., it has a None return type), mention that explicitly.
4. Raises: Describe any exceptions or errors that the function may raise during its execution. Specify the conditions under which these exceptions might occur.
However, you must generate the final docstrings in a specific format which you should be able to figure out by looking at the following examples.
Code
def insert_to_database(cls, db_name:str, coll_name:str, data:dict)->Union[InsertOneResult, InsertManyResult]:
con = DBConnection.get_client()
mydb = con[db_name]
mycol = mydb[coll_name]
if isinstance(data, list):
return mycol.insert_many(data)
else:
return mycol.insert_one(data)
"""insert a single record or iterable of records to the database.
Args:
db_name (str): name of the database
coll_name (str): name of the collection
data (dict): data to be inserted
Returns:
An instance of class: pymongo.results.InsertOneResult or
pymongo.results.InsertManyResult
"""
Code
def signup(response_result: FrontendResponseModel, data: Union[UserAuth,BulkSignup]):
if isinstance(data, UserAuth):
# querying database to check if user already exist
user = DBQueries.filtered_db_search("Auth", data.role, [], AADHAR=data.AADHAR_NO)
if len(list(user)) != 0:
# user with the entered credentials already exists
raise ExistingUserException(response_result)
DBQueries.insert_to_database("Auth", data.role, userinfo) # saving user to database
response_result['status'] = f'success'
response_result['message'] = [f'User with this AADHAR NO created successfully']
else:
AADHAR_NOS = data.AADHAR_NOS
passwords = data.passwords
village_name = data.village_name
users = DBQueries.filtered_db_search("Auth", role_manager.user, ["_id","password","village_name"], search_idxs="AADHAR":"$in":AADHAR_NOS)
users = [user["AADHAR"] for user in users]
invalid_users = []
valid_users = []
users_created = []
for user in zip(AADHAR_NOS,passwords):
if user[0] in users:
invalid_users.append(user[0])
else:
userinfo["AADHAR"] = user[0]
userinfo["password"] = Auth.get_password_hash(user[1])
valid_users.append(userinfo)
users_created.append(user[0])
if len(valid_users)!=0:
DBQueries.insert_to_database("Auth", role_manager.user, valid_users) # saving user to database
response_result['status'] = f'success'
response_result['message'] = [f'Users created successfully']
else:
response_result['status'] = f'failure'
response_result['message'] = [f'No users created']
"""Wrapper method to handle signup process.
Args:
response_result: FrontendResponseModel. A TypedDict to return the
response captured from the API to the frontend.
data: UserAuth. New user's prospective credentials from the frontend
to create their account.
Raises:
ExistingUserException: If account with entered AADHAR Number already exists.
"""
Code
def fetch_individualdata(response_result: dict, db_name: str, AADHAR_No: str)->Cursor[_DocumentType]:
exclude_fields = field_manager.get_form_fields(FormData, exclude=["fam_info"])
exclude_fields += ["_id","timestamp","volunteer_id"]
indivdata = [docs for docs in DBQueries.filtered_db_search(db_name,collection_names["fam_data"],exclude_fields,search_idxs="fam_info.AADHAR_No":AADHAR_No)]
if len(indivdata) == 0:
raise InfoNotFoundException(response_result, "person with this id does not exist in the database")
fam_members = [doc for doc in indivdata[0]["fam_info"] if doc["AADHAR_No"] == AADHAR_No]
return fam_members[0]
"""Wrapper function to fetch individual data from the database.
Args:
response_result (dict): response result to be returned in case of error.
db_name (str): name of the database.
AADHAR_No (str): id of the respondent.
Returns:
Cursor[_DocumentType]: A cursor containing the data of the individual
fetched from the database.
"""
Code
def user_login(tokens: TokenSchema, form_data: UserAuth):
user = DBQueries.filtered_db_search("Auth", form_data.role, ['_id'], AADHAR=form_data.AADHAR_NO)
data = list(user)
if len(data) == 0:
# no such users in the database
raise LoginFailedException(tokens)
if not Auth.verify_password(form_data.password, data[0]['password']) or \
not Auth.verify_village_name(data[0]['village_name'], form_data.village_name):
# incorrect credentials
raise LoginFailedException(tokens)
# successful login
sub = form_data.AADHAR_NO + "_" + form_data.role + "_" + form_data.village_name
tokens['access_token'] = Auth.create_access_token(sub)
tokens['refresh_token'] = Auth.create_refresh_token(sub)
tokens['status'] = 'login successful'
tokens['role'] = form_data.role
"""Wrapper method to handle sign-ins and generating `access_tokens`.
Args:
tokens: TokenSchema. A TypedDict to return `access_token`,
`refresh_access_tokens`, `status`, and `role`
related information to grant genuine users their
respective level of authorization according to
the maintained hierarchy.
form_data: UserAuth. Sign-in credentials entered by the users at the
time of signing in.
Raises:
LoginFailedException: If no user with entered credentials exists.
"""
Code
def token_validation(token: str) -> bool:
try:
payload = jwt.decode(
token, settings.JWT_SECRET_KEY, algorithms=[settings.ALGORITHM]
)
token_data = TokenPayload(**payload)
if datetime.fromtimestamp(token_data.exp) < datetime.now():
return False
except(jwt.JWTError, ValidationError):
return False
return True
"""Decodes JWTs to check their validity by inspecting expiry and
authorization code.
Args:
token: str. Authenticated `access_token` of the user.
Returns:
bool value to indicate validity of the access tokens.
Raises:
jwt.JWTError: If decode fails.
ValidationError: If JWTs are not in RFC 7519 standard.
"""
Code
{instruction} <|im_end|>
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