fixed datetime import, new function to create dicts

src/jobspy/scrapers/goozali/GoozaliMapper.py

@@ -1,5 +1,6 @@
 import json
 
+from jobspy.jobs import JobPost
 from jobspy.scrapers.goozali.model import GoozaliColumnTypeOptions, GoozaliResponse, GoozaliRow
 from jobspy.scrapers.goozali.model.GoozaliColumn import GoozaliColumn
 from jobspy.scrapers.goozali.model.GoozaliColumnChoice import GoozaliColumnChoice
@@ -75,3 +76,7 @@ class GoozaliMapper:
 
         # Return a new GoozaliResponse with msg and the converted data
         return GoozaliResponse(msg=data['msg'], data=data_obj)
+
+    def map_goozali_response_to_job_post(self, row: GoozaliRow, columns: dict[str, GoozaliColumn]) -> JobPost:
+
+        return JobPost()

src/jobspy/scrapers/goozali/GoozaliScrapperComponent.py

@@ -1,5 +1,4 @@
-from datetime import datetime
+from datetime import datetime, timedelta
-import json
 
 from jobspy.scrapers.goozali.model import GoozaliRow
 from jobspy.scrapers.goozali.model.GoozaliColumn import GoozaliColumn
@@ -27,7 +26,7 @@ class GoozaliScrapperComponent:
         now = datetime.now()
 
         # Calculate the time delta for the given hours
-        time_delta = datetime.timedelta(hours=hours)
+        time_delta = timedelta(hours=hours)
 
         # Filter rows
         filtered_rows = [

src/jobspy/scrapers/utils.py

@@ -1,4 +1,5 @@
 from __future__ import annotations
+from typing import Callable, TypeVar, List, Dict, Optional
 
 import re
 import logging
@@ -283,3 +284,40 @@ def extract_job_type(description: str):
             listing_types.append(key)
 
     return listing_types if listing_types else None
+
+
+K = TypeVar('K')  # Key type
+V = TypeVar('V')  # Value type
+
+
+def create_dict_by_key_and_value(
+    values: List[V],
+    key_mapper: Callable[[V], K],
+    value_mapper: Optional[Callable[[V], V]] = None
+) -> Dict[K, V]:
+    """
+    Create a dictionary by mapping keys and optionally mapping values.
+
+    :param values: List of input values
+    :param key_mapper: Function to map a value to a key
+    :param value_mapper: Optional function to map a value to a transformed value
+    :return: A dictionary with mapped keys and values
+    """
+    result = {}
+    for value in values:
+        key = key_mapper(value)
+        result[key] = value_mapper(value) if value_mapper else value
+    return result
+
+# Example usage:
+# values = [
+#     {"id": 1, "name": "Alice"},
+#     {"id": 2, "name": "Bob"},
+#     {"id": 3, "name": "Charlie"}
+# ]
+
+# Key mapper: Extract 'id' as the key
+# key_mapper = lambda x: x["id"]
+
+# Value mapper: Extract 'name' as the value
+# value_mapper = lambda x: x["name"]

src/tests/test_goozali.py

@@ -5,7 +5,9 @@ import pandas as pd
 
 from jobspy.scrapers.goozali.GoozaliMapper import GoozaliMapper
 from jobspy.scrapers.goozali.GoozaliScrapperComponent import GoozaliScrapperComponent
+from jobspy.scrapers.goozali.model import GoozaliColumn
 from jobspy.scrapers.goozali.model.GozaaliResponseData import GoozaliResponseData
+from jobspy.scrapers.utils import create_dict_by_key_and_value
 # URL Example
 # https://airtable.com/v0.3/view/viwagEIbkfz2iMsLU/readSharedViewData?stringifiedObjectParams=%7B%22shouldUseNestedResponseFormat%22%3Atrue%7D&requestId=reqXyRSHWlXyiRgY9&accessPolicy=%7B%22allowedActions%22%3A%5B%7B%22modelClassName%22%3A%22view%22%2C%22modelIdSelector%22%3A%22viwagEIbkfz2iMsLU%22%2C%22action%22%3A%22readSharedViewData%22%7D%2C%7B%22modelClassName%22%3A%22view%22%2C%22modelIdSelector%22%3A%22viwagEIbkfz2iMsLU%22%2C%22action%22%3A%22getMetadataForPrinting%22%7D%2C%7B%22modelClassName%22%3A%22view%22%2C%22modelIdSelector%22%3A%22viwagEIbkfz2iMsLU%22%2C%22action%22%3A%22readSignedAttachmentUrls%22%7D%2C%7B%22modelClassName%22%3A%22row%22%2C%22modelIdSelector%22%3A%22rows%20*%5BdisplayedInView%3DviwagEIbkfz2iMsLU%5D%22%2C%22action%22%3A%22createDocumentPreviewSession%22%7D%5D%2C%22shareId%22%3A%22shr97tl6luEk4Ca9R%22%2C%22applicationId%22%3A%22app5sYJyDgcRbJWYU%22%2C%22generationNumber%22%3A0%2C%22expires%22%3A%222025-01-02T00%3A00%3A00.000Z%22%2C%22signature%22%3A%223aa292ee44d15aa75d9506200329e413653471f89e000fa370ef9fa38393070a%22%7D
 
@@ -33,7 +35,13 @@ try:
     filtered_rows_by_age_and_column_choice = component.filter_rows_by_hours(
         filtered_rows_by_column_choice, hours_old)
 
-    filtered_rows_by_age_and_column_choice
+    # Key mapper: Extract 'id' as the key
+    def extract_goozali_column_id(column): return column.id if isinstance(
+        column, GoozaliColumn) else None
+    dict_column_id_to_column = create_dict_by_key_and_value(
+        response_data.columns, extract_goozali_column_id)
+
+    print("hello heloo")
 except FileNotFoundError:
     print("The file was not found.")
 except json.JSONDecodeError: