prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Astro Build's Integration Test breaking on 0.8.1
  broken on - 0.8.1 , but works with 0.7.0.
  
  In this test dag, task_5 joins tables from task_3 (snowflake) and task_4 (postgres). The task’s print statement shows the joined table, suggesting successful ingestion and transformation. However, the error below suggests the the postgres output conn is expected to contain the database element of the snowflake connection.
  In other words, the task fails becausepostgres_conn doesn’t have the database attribute associated with snowflake_conn.
  
  ```
  import time
  from datetime import datetime
  
  import pandas as pd
  from airflow.decorators import dag, task
  from airflow.models import Variable
  from airflow.utils import timezone
  from airflow.utils.dates import days_ago
  from astro import dataframe as df
  from astro import sql as aql
  from astro.sql.table import Table, TempTable
  
  @df()
  def task_1_func():
      return pd.DataFrame({'a':[1,2,3]})
  
  @aql.transform(conn_id='postgres_conn')
  def task_2_func(execution_date: Table):
      return """SELECT * FROM actor WHERE startdate < '{{ execution_date }}'"""
  
  @aql.transform(conn_id='snowflake_conn')
  def task_3_func():
      return """SELECT * FROM "ASTROBUILD"."BUILDSCHEMA"."MYTABLE" LIMIT 10;"""
  
  @aql.transform(conn_id='postgres_conn')
  def task_4_func():
      return """SELECT * FROM actor LIMIT 10;"""
  
  @df(conn_id='postgres_conn')
  def task_5_func(task_3: pd.DataFrame, task_4: pd.DataFrame):
      df=task_3.join(task_4)
      print(df)
      return df
  
  @dag(schedule_interval='0 0 * * *', start_date=datetime(2022, 4, 15, 11, 28, 8), catchup=False, tags=['tag_1', 'tag_1'])
  def dag_1():
      task_1 = task_1_func()
      task_2 = task_2_func(output_table=Table(conn_id='postgres_conn', schema='tmp_astro', table_name='tmp_astro_dag_1_task_2'), execution_date=Table(conn_id='postgres_conn', table_name='execution_date'))
      task_3 = task_3_func(output_table=Table(conn_id='snowflake_conn', schema='tmp_astro', table_name='tmp_astro_dag_1_task_3'))
      task_4 = task_4_func(output_table=Table(conn_id='postgres_conn', schema='tmp_astro', table_name='tmp_astro_dag_1_task_4'))
      task_5 = task_5_func(task_3, task_4, output_table=Table(conn_id='postgres_conn', schema='tmp_astro', table_name='tmp_astro_dag_1_task_5'))
  
  dag_obj = dag_1()
  ```
  
  Error:
  
  ```
  INFO - Using connection to: id: postgres_conn. Host: 127.0.0.1, Port: 8999, Schema: postgres, Login: postgres, Password: ***, extra: {}
  *** psycopg2.OperationalError: connection to server at "127.0.0.1", port 8999 failed: FATAL:  database "ASTROBUILD" does not exist
  ```
  
  </issue>
  <code>
  [start of src/astro/utils/table_handler.py]
  1 import inspect
  2 from typing import Optional
  3 
  4 import pandas
  5 
  6 from astro.settings import SCHEMA
  7 from astro.sql.table import Table
  8 
  9 
  10 class TableHandler:
  11     def _set_variables_from_first_table(self):
  12         """
  13         When we create our SQL operation, we run with the assumption that the first table given is the "main table".
  14         This means that a user doesn't need to define default conn_id, database, etc. in the function unless they want
  15         to create default values.
  16         """
  17         first_table: Optional[Table] = None
  18         if self.op_args:
  19             table_index = [x for x, t in enumerate(self.op_args) if type(t) == Table]
  20             if table_index:
  21                 first_table = self.op_args[table_index[0]]
  22         elif not first_table:
  23             table_kwargs = [
  24                 x
  25                 for x in inspect.signature(self.python_callable).parameters.values()
  26                 if (
  27                     x.annotation == Table
  28                     and type(self.op_kwargs[x.name]) == Table
  29                     or x.annotation == pandas.DataFrame
  30                     and type(self.op_kwargs[x.name]) == Table
  31                 )
  32             ]
  33             if table_kwargs:
  34                 first_table = self.op_kwargs[table_kwargs[0].name]
  35 
  36         # If there is no first table via op_ags or kwargs, we check the parameters
  37         elif not first_table:
  38             if self.parameters:
  39                 param_tables = [t for t in self.parameters.values() if type(t) == Table]
  40                 if param_tables:
  41                     first_table = param_tables[0]
  42 
  43         if first_table:
  44             self.conn_id = first_table.conn_id or self.conn_id
  45             self.database = first_table.database or self.database
  46             self.schema = first_table.schema or self.schema
  47             self.warehouse = first_table.warehouse or self.warehouse
  48             self.role = first_table.role or self.role
  49 
  50     def populate_output_table(self):
  51         self.output_table.conn_id = self.output_table.conn_id or self.conn_id
  52         self.output_table.database = self.output_table.database or self.database
  53         self.output_table.warehouse = self.output_table.warehouse or self.warehouse
  54         self.output_table.schema = self.output_table.schema or SCHEMA
  55
  [end of src/astro/utils/table_handler.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/src/astro/utils/table_handler.py b/src/astro/utils/table_handler.py
  --- a/src/astro/utils/table_handler.py
  +++ b/src/astro/utils/table_handler.py
  @@ -16,28 +16,51 @@
           """
           first_table: Optional[Table] = None
           if self.op_args:
  -            table_index = [x for x, t in enumerate(self.op_args) if type(t) == Table]
  -            if table_index:
  +            table_index = [
  +                x for x, t in enumerate(self.op_args) if isinstance(t, Table)
  +            ]
  +            conn_id_set = {x.conn_id for x in self.op_args if isinstance(x, Table)}
  +            # Check to see if all tables belong to same conn_id. Otherwise, we this can go wrong for cases
  +            # 1. When we have tables from different DBs.
  +            # 2. When we have tables from different conn_id, since they can be configured with different
  +            # database/schema etc.
  +            if table_index and len(conn_id_set) == 1:
                   first_table = self.op_args[table_index[0]]
  -        elif not first_table:
  +
  +        if not first_table and self.op_kwargs and self.python_callable:
               table_kwargs = [
                   x
                   for x in inspect.signature(self.python_callable).parameters.values()
                   if (
                       x.annotation == Table
  -                    and type(self.op_kwargs[x.name]) == Table
  +                    and isinstance(self.op_kwargs[x.name], Table)
                       or x.annotation == pandas.DataFrame
  -                    and type(self.op_kwargs[x.name]) == Table
  +                    and isinstance(self.op_kwargs[x.name], Table)
                   )
               ]
  -            if table_kwargs:
  +            conn_id_set = {
  +                self.op_kwargs[x.name].conn_id
  +                for x in inspect.signature(self.python_callable).parameters.values()
  +                if (
  +                    x.annotation == Table
  +                    and isinstance(self.op_kwargs[x.name], Table)
  +                    or x.annotation == pandas.DataFrame
  +                    and isinstance(self.op_kwargs[x.name], Table)
  +                )
  +            }
  +            if table_kwargs and len(conn_id_set) == 1:
                   first_table = self.op_kwargs[table_kwargs[0].name]
   
           # If there is no first table via op_ags or kwargs, we check the parameters
  -        elif not first_table:
  +        if not first_table and self.parameters:
               if self.parameters:
  -                param_tables = [t for t in self.parameters.values() if type(t) == Table]
  -                if param_tables:
  +                param_tables = [
  +                    t for t in self.parameters.values() if isinstance(t, Table)
  +                ]
  +                conn_id_set = {
  +                    t.conn_id for t in self.parameters.values() if isinstance(t, Table)
  +                }
  +                if param_tables and len(conn_id_set) == 1:
                       first_table = param_tables[0]
   
           if first_table:
  
verification_info: {"golden_diff": "diff --git a/src/astro/utils/table_handler.py b/src/astro/utils/table_handler.py\n--- a/src/astro/utils/table_handler.py\n+++ b/src/astro/utils/table_handler.py\n@@ -16,28 +16,51 @@\n         \"\"\"\n         first_table: Optional[Table] = None\n         if self.op_args:\n-            table_index = [x for x, t in enumerate(self.op_args) if type(t) == Table]\n-            if table_index:\n+            table_index = [\n+                x for x, t in enumerate(self.op_args) if isinstance(t, Table)\n+            ]\n+            conn_id_set = {x.conn_id for x in self.op_args if isinstance(x, Table)}\n+            # Check to see if all tables belong to same conn_id. Otherwise, we this can go wrong for cases\n+            # 1. When we have tables from different DBs.\n+            # 2. When we have tables from different conn_id, since they can be configured with different\n+            # database/schema etc.\n+            if table_index and len(conn_id_set) == 1:\n                 first_table = self.op_args[table_index[0]]\n-        elif not first_table:\n+\n+        if not first_table and self.op_kwargs and self.python_callable:\n             table_kwargs = [\n                 x\n                 for x in inspect.signature(self.python_callable).parameters.values()\n                 if (\n                     x.annotation == Table\n-                    and type(self.op_kwargs[x.name]) == Table\n+                    and isinstance(self.op_kwargs[x.name], Table)\n                     or x.annotation == pandas.DataFrame\n-                    and type(self.op_kwargs[x.name]) == Table\n+                    and isinstance(self.op_kwargs[x.name], Table)\n                 )\n             ]\n-            if table_kwargs:\n+            conn_id_set = {\n+                self.op_kwargs[x.name].conn_id\n+                for x in inspect.signature(self.python_callable).parameters.values()\n+                if (\n+                    x.annotation == Table\n+                    and isinstance(self.op_kwargs[x.name], Table)\n+                    or x.annotation == pandas.DataFrame\n+                    and isinstance(self.op_kwargs[x.name], Table)\n+                )\n+            }\n+            if table_kwargs and len(conn_id_set) == 1:\n                 first_table = self.op_kwargs[table_kwargs[0].name]\n \n         # If there is no first table via op_ags or kwargs, we check the parameters\n-        elif not first_table:\n+        if not first_table and self.parameters:\n             if self.parameters:\n-                param_tables = [t for t in self.parameters.values() if type(t) == Table]\n-                if param_tables:\n+                param_tables = [\n+                    t for t in self.parameters.values() if isinstance(t, Table)\n+                ]\n+                conn_id_set = {\n+                    t.conn_id for t in self.parameters.values() if isinstance(t, Table)\n+                }\n+                if param_tables and len(conn_id_set) == 1:\n                     first_table = param_tables[0]\n \n         if first_table:\n", "issue": "Astro Build's Integration Test breaking on 0.8.1\nbroken on - 0.8.1 , but works with 0.7.0.\n\nIn this test dag, task_5 joins tables from task_3 (snowflake) and task_4 (postgres). The task\u2019s print statement shows the joined table, suggesting successful ingestion and transformation. However, the error below suggests the the postgres output conn is expected to contain the database element of the snowflake connection.\nIn other words, the task fails becausepostgres_conn doesn\u2019t have the database attribute associated with snowflake_conn.\n\n```\nimport time\nfrom datetime import datetime\n\nimport pandas as pd\nfrom airflow.decorators import dag, task\nfrom airflow.models import Variable\nfrom airflow.utils import timezone\nfrom airflow.utils.dates import days_ago\nfrom astro import dataframe as df\nfrom astro import sql as aql\nfrom astro.sql.table import Table, TempTable\n\n@df()\ndef task_1_func():\n    return pd.DataFrame({'a':[1,2,3]})\n\n@aql.transform(conn_id='postgres_conn')\ndef task_2_func(execution_date: Table):\n    return \"\"\"SELECT * FROM actor WHERE startdate < '{{ execution_date }}'\"\"\"\n\n@aql.transform(conn_id='snowflake_conn')\ndef task_3_func():\n    return \"\"\"SELECT * FROM \"ASTROBUILD\".\"BUILDSCHEMA\".\"MYTABLE\" LIMIT 10;\"\"\"\n\n@aql.transform(conn_id='postgres_conn')\ndef task_4_func():\n    return \"\"\"SELECT * FROM actor LIMIT 10;\"\"\"\n\n@df(conn_id='postgres_conn')\ndef task_5_func(task_3: pd.DataFrame, task_4: pd.DataFrame):\n    df=task_3.join(task_4)\n    print(df)\n    return df\n\n@dag(schedule_interval='0 0 * * *', start_date=datetime(2022, 4, 15, 11, 28, 8), catchup=False, tags=['tag_1', 'tag_1'])\ndef dag_1():\n    task_1 = task_1_func()\n    task_2 = task_2_func(output_table=Table(conn_id='postgres_conn', schema='tmp_astro', table_name='tmp_astro_dag_1_task_2'), execution_date=Table(conn_id='postgres_conn', table_name='execution_date'))\n    task_3 = task_3_func(output_table=Table(conn_id='snowflake_conn', schema='tmp_astro', table_name='tmp_astro_dag_1_task_3'))\n    task_4 = task_4_func(output_table=Table(conn_id='postgres_conn', schema='tmp_astro', table_name='tmp_astro_dag_1_task_4'))\n    task_5 = task_5_func(task_3, task_4, output_table=Table(conn_id='postgres_conn', schema='tmp_astro', table_name='tmp_astro_dag_1_task_5'))\n\ndag_obj = dag_1()\n```\n\nError:\n\n```\nINFO - Using connection to: id: postgres_conn. Host: 127.0.0.1, Port: 8999, Schema: postgres, Login: postgres, Password: ***, extra: {}\n*** psycopg2.OperationalError: connection to server at \"127.0.0.1\", port 8999 failed: FATAL:  database \"ASTROBUILD\" does not exist\n```\n", "before_files": [{"content": "import inspect\nfrom typing import Optional\n\nimport pandas\n\nfrom astro.settings import SCHEMA\nfrom astro.sql.table import Table\n\n\nclass TableHandler:\n    def _set_variables_from_first_table(self):\n        \"\"\"\n        When we create our SQL operation, we run with the assumption that the first table given is the \"main table\".\n        This means that a user doesn't need to define default conn_id, database, etc. in the function unless they want\n        to create default values.\n        \"\"\"\n        first_table: Optional[Table] = None\n        if self.op_args:\n            table_index = [x for x, t in enumerate(self.op_args) if type(t) == Table]\n            if table_index:\n                first_table = self.op_args[table_index[0]]\n        elif not first_table:\n            table_kwargs = [\n                x\n                for x in inspect.signature(self.python_callable).parameters.values()\n                if (\n                    x.annotation == Table\n                    and type(self.op_kwargs[x.name]) == Table\n                    or x.annotation == pandas.DataFrame\n                    and type(self.op_kwargs[x.name]) == Table\n                )\n            ]\n            if table_kwargs:\n                first_table = self.op_kwargs[table_kwargs[0].name]\n\n        # If there is no first table via op_ags or kwargs, we check the parameters\n        elif not first_table:\n            if self.parameters:\n                param_tables = [t for t in self.parameters.values() if type(t) == Table]\n                if param_tables:\n                    first_table = param_tables[0]\n\n        if first_table:\n            self.conn_id = first_table.conn_id or self.conn_id\n            self.database = first_table.database or self.database\n            self.schema = first_table.schema or self.schema\n            self.warehouse = first_table.warehouse or self.warehouse\n            self.role = first_table.role or self.role\n\n    def populate_output_table(self):\n        self.output_table.conn_id = self.output_table.conn_id or self.conn_id\n        self.output_table.database = self.output_table.database or self.database\n        self.output_table.warehouse = self.output_table.warehouse or self.warehouse\n        self.output_table.schema = self.output_table.schema or SCHEMA\n", "path": "src/astro/utils/table_handler.py"}]}