Support exact search with quotes in the notebook

edgar_tool/cli.py

@@ -132,23 +132,20 @@ def text_search(
             destination=output,
         )
         scraper = EdgarTextSearcher()
-        try:
-            scraper.text_search(
-                keywords=keywords,
-                entity_id=entity_id,
-                filing_form=TEXT_SEARCH_FILING_VS_MAPPING_CATEGORIES_MAPPING.get(filing_form),
-                single_forms=single_forms,
-                start_date=start_date,
-                end_date=end_date,
-                min_wait_seconds=min_wait,
-                max_wait_seconds=max_wait,
-                retries=retries,
-                destination=output,
-                peo_in=peo_in,
-                inc_in=inc_in
-            )
-        except NoResultsFoundError as e:
-            sys.exit(2)
+        scraper.text_search(
+            keywords=keywords,
+            entity_id=entity_id,
+            filing_form=TEXT_SEARCH_FILING_VS_MAPPING_CATEGORIES_MAPPING.get(filing_form),
+            single_forms=single_forms,
+            start_date=start_date,
+            end_date=end_date,
+            min_wait_seconds=min_wait,
+            max_wait_seconds=max_wait,
+            retries=retries,
+            destination=output,
+            peo_in=peo_in,
+            inc_in=inc_in
+        )
 
     @staticmethod
     def rss(

notebook/Bellingcat_EDGAR_Tool.ipynb

@@ -62,6 +62,7 @@
         "from ipywidgets import widgets\n",
         "from IPython.display import display\n",
         "from IPython import get_ipython\n",
+        "from contextlib import redirect_stdout\n",
         "\n",
         "data_table.enable_dataframe_formatter()\n",
         "\n",
@@ -74,33 +75,41 @@
         "\n",
         "# Install the EDGAR search tool on the first run\n",
         "![ ! -f \"edgar_tool_installed\" ] && echo -n \"Loading the EDGAR Tool on first search...\" && pip install edgar-tool >> {logfile} 2>&1 && pip install pandas==1.5.3 >> {logfile} 2>&1 && touch edgar_tool_installed && echo \"Loaded.\"\n",
+        "from edgar_tool.cli import SecEdgarScraperCli as edgar_tool\n",
+        "from edgar_tool.page_fetcher import NoResultsFoundError\n",
         "\n",
         "# Run the tool with the query\n",
-        "!echo -n \"Searching EDGAR...\"\n",
-        "!edgar-tool text_search {search_keywords} --start_date {start_date} --end_date {end_date} --filing_form {filing_type} --entity_id {company_cik} --output {output} --browser firefox --min-wait 0.5 --max-wait 1.5 {loc_filter} >> {logfile} 2>&1\n",
-        "exit_code = get_ipython().__dict__['user_ns']['_exit_code']\n",
-        "!echo \"Done.\"\n",
-        "\n",
-        "# Error handling\n",
-        "if exit_code == 2:\n",
+        "print(\"Searching EDGAR...\")\n",
+        "try:\n",
+        "  with open(logfile, 'a') as f:\n",
+        "    with redirect_stdout(f):\n",
+        "        edgar_tool.text_search(\n",
+        "            search_keywords,\n",
+        "            start_date=start_date, \n",
+        "            end_date=end_date,\n",
+        "            filing_form=filing_type,\n",
+        "            entity_id=company_cik,\n",
+        "            output=output,\n",
+        "            peo_in=location if filter_by_location==\"Principal executive offices in\" else None,\n",
+        "            inc_in=location if filter_by_location==\"Incorporated in\" else None,\n",
+        "        )\n",
+        "  print(\"Done.\")\n",
+        "  # Load results\n",
+        "  results = pd.read_csv(output)\n",
+        "\n",
+        "  # Show download button\n",
+        "  btn = widgets.Button(description='Download Results')\n",
+        "  btn.on_click(lambda x: files.download(output))\n",
+        "  display(btn)\n",
+        "\n",
+        "  # Display the results in a data table\n",
+        "  display(results)\n",
+        "except NoResultsFoundError:\n",
         "  print(\"\\x1b[33m No results were found for your query.\\x1b[0m\")\n",
-        "elif exit_code != 0:\n",
-        "  print(\"\\x1b[31m Something went wrong with the EDGAR tool, check your search and try again.\\x1b[0m\")\n",
-        "else:\n",
-        "  try:\n",
-        "    # Load results\n",
-        "    results = pd.read_csv(output)\n",
-        "\n",
-        "    # Show download button\n",
-        "    btn = widgets.Button(description='Download Results')\n",
-        "    btn.on_click(lambda x: files.download(output))\n",
-        "    display(btn)\n",
-        "\n",
-        "    # Display the results in a data table\n",
-        "    display(results)\n",
-        "  except FileNotFoundError as e:\n",
-        "    print(\"\\x1b[31m Something went wrong with the EDGAR tool, please get in touch at [email protected] and help us improve the tool for everyone. \\x1b[0m\")\n",
-        "\n"
+        "except FileNotFoundError as e:\n",
+        "  print(\"\\x1b[31m Something went wrong with the EDGAR tool, please get in touch at [email protected] and help us improve the tool for everyone. \\x1b[0m\")\n",
+        "except Exception as e:\n",
+        "  print(\"\\x1b[31m Something went wrong with the EDGAR tool, check your search and try again.\\x1b[0m\")  "
       ]
     }
   ],

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "edgar-tool"
-version = "1.3.1"
+version = "1.3.2"
 description = "Search and retrieve corporate and financial data from the United States Securities and Exchange Commission (SEC)."
 authors = ["Bellingcat"]
 license = "GNU General Public License v3 (GPLv3)"