sqlalchemy

Converting NaN to Oracle Nulls within Python Pandas

孤街浪徒 提交于 2021-01-01 03:58:21
问题 I get this error on executing the below function & It is because NaN is tried to be inserted into numeric column. Replacing NaN with 0 throughout does work but replacement with None does not. Any ideas would be appreciated def insertData(table_name, schema_name, df): if not df.empty: #input_data[file].fillna(0, inplace=True) # This works but replacing with 0's is not ideal df.where(pd.notnull(df), None) #This does not work values = df.to_dict(orient='records') table = sa.Table(table_name ,

Using proper file structure with SQLAlchemy and how to add data to db

感情迁移 提交于 2020-12-31 06:51:06
问题 I am trying to build a simple blogging platform to learn Python and Flask. I am using SQLAlchemy to connect to a Postgres db hosted on Heroku and flask_s3 to serve static files from an AWS bucket. Im mostly following along from this: https://gist.github.com/mayukh18/2223bc8fc152631205abd7cbf1efdd41/ All was going well, it is correctly hosted on Heroku and connceted to AWS S3 bucket, ready to go. I am stuck however on how to add blog posts to the database through some kind of form or route

Using proper file structure with SQLAlchemy and how to add data to db

浪尽此生 提交于 2020-12-31 06:49:12
问题 I am trying to build a simple blogging platform to learn Python and Flask. I am using SQLAlchemy to connect to a Postgres db hosted on Heroku and flask_s3 to serve static files from an AWS bucket. Im mostly following along from this: https://gist.github.com/mayukh18/2223bc8fc152631205abd7cbf1efdd41/ All was going well, it is correctly hosted on Heroku and connceted to AWS S3 bucket, ready to go. I am stuck however on how to add blog posts to the database through some kind of form or route

Using proper file structure with SQLAlchemy and how to add data to db

老子叫甜甜 提交于 2020-12-31 06:48:30
问题 I am trying to build a simple blogging platform to learn Python and Flask. I am using SQLAlchemy to connect to a Postgres db hosted on Heroku and flask_s3 to serve static files from an AWS bucket. Im mostly following along from this: https://gist.github.com/mayukh18/2223bc8fc152631205abd7cbf1efdd41/ All was going well, it is correctly hosted on Heroku and connceted to AWS S3 bucket, ready to go. I am stuck however on how to add blog posts to the database through some kind of form or route

Using proper file structure with SQLAlchemy and how to add data to db

不打扰是莪最后的温柔 提交于 2020-12-31 06:46:26
问题 I am trying to build a simple blogging platform to learn Python and Flask. I am using SQLAlchemy to connect to a Postgres db hosted on Heroku and flask_s3 to serve static files from an AWS bucket. Im mostly following along from this: https://gist.github.com/mayukh18/2223bc8fc152631205abd7cbf1efdd41/ All was going well, it is correctly hosted on Heroku and connceted to AWS S3 bucket, ready to go. I am stuck however on how to add blog posts to the database through some kind of form or route

SQLAlchemy filter on list attribute

て烟熏妆下的殇ゞ 提交于 2020-12-31 05:52:21
问题 I have the following model defined with Flask-SQLAlchemy: """models.py""" from flask_sqlalchemy import SQLAlchemy db = SQLAlchemy() skill_candidate = db.Table( 'SkillCandidate', db.Column('skill_id', db.String, db.ForeignKey('skill.id')), db.Column('candidate_id', db.Integer, db.ForeignKey('candidate.id'))) class Candidate(db.Model): id = db.Column(db.Integer, primary_key=True) skills = db.relationship("Skill", secondary=skill_candidate) class Skill(db.Model): id = db.Column(db.String,

Returning ranked search results using gin index with sqlalchemy

旧街凉风 提交于 2020-12-30 11:54:35
问题 I have a GIN index set up for full text search. I would like to get a list of records that match a search query, ordered by rank (how well the record matched the search query). For the result, I only need the record and its columns, I do not need the actual rank value that was used for ordering. I have the following query, which runs fine and returns the expected results from my postgresql db. SELECT *, ts_rank('{0.1,0.1,0.1,0.1}', users.textsearchable_index_col, to_tsquery('smit:* | ji:*'))

flask sqlalchemy many to many relationship with extra field

流过昼夜 提交于 2020-12-29 09:11:57
问题 I have 2 tables: restaurants and foods, and a 3rd table restaurants_foods which stores the many to many relationship between the 2 tables restaurants_foods = db.Table('restaurants_foods', db.Column('restaurant_id', db.Integer, db.ForeignKey('restaurants.id'), primary_key=True), db.Column('food_id', db.Integer, db.ForeignKey('foods.id'), primary_key=True), db.Column('food_price', db.Float) ) class Food(Model): __tablename__ = "foods" id = db.Column(db.Integer, primary_key=True, autoincrement

flask sqlalchemy many to many relationship with extra field

微笑、不失礼 提交于 2020-12-29 09:11:57
问题 I have 2 tables: restaurants and foods, and a 3rd table restaurants_foods which stores the many to many relationship between the 2 tables restaurants_foods = db.Table('restaurants_foods', db.Column('restaurant_id', db.Integer, db.ForeignKey('restaurants.id'), primary_key=True), db.Column('food_id', db.Integer, db.ForeignKey('foods.id'), primary_key=True), db.Column('food_price', db.Float) ) class Food(Model): __tablename__ = "foods" id = db.Column(db.Integer, primary_key=True, autoincrement

flask sqlalchemy many to many relationship with extra field

谁说胖子不能爱 提交于 2020-12-29 09:06:31
问题 I have 2 tables: restaurants and foods, and a 3rd table restaurants_foods which stores the many to many relationship between the 2 tables restaurants_foods = db.Table('restaurants_foods', db.Column('restaurant_id', db.Integer, db.ForeignKey('restaurants.id'), primary_key=True), db.Column('food_id', db.Integer, db.ForeignKey('foods.id'), primary_key=True), db.Column('food_price', db.Float) ) class Food(Model): __tablename__ = "foods" id = db.Column(db.Integer, primary_key=True, autoincrement