Say 'zeeschuimer' instead of 'extension' to avoid confusion with 4CAT…

… extensions

common/lib/module_loader.py

@@ -243,7 +243,7 @@ def expand_datasources(self):
             self.datasources[datasource_id]["has_worker"] = bool(worker)
             self.datasources[datasource_id]["has_options"] = self.datasources[datasource_id]["has_worker"] and \
                                                              bool(self.workers["%s-search" % datasource_id].get_options())
-            self.datasources[datasource_id]["importable"] = worker and hasattr(worker, "is_from_extension") and worker.is_from_extension
+            self.datasources[datasource_id]["importable"] = worker and hasattr(worker, "is_from_zeeschuimer") and worker.is_from_zeeschuimer
 
     def load_worker_class(self, worker):
         """

datasources/gab/search_gab.py

@@ -16,7 +16,7 @@ class SearchGab(Search):
     title = "Import scraped Gab data"  # title displayed in UI
     description = "Import Gab data collected with an external tool such as Zeeschuimer."  # description displayed in UI
     extension = "ndjson"  # extension of result file, used internally and in UI
-    is_from_extension = True
+    is_from_zeeschuimer = True
     fake = ""
 
     # not available as a processor for existing datasets

datasources/imgur/search_imgur.py

@@ -18,7 +18,7 @@ class SearchNineGag(Search):
     title = "Import scraped Imgur data"  # title displayed in UI
     description = "Import Imgur data collected with an external tool such as Zeeschuimer."  # description displayed in UI
     extension = "ndjson"  # extension of result file, used internally and in UI
-    is_from_extension = True
+    is_from_zeeschuimer = True
 
     # not available as a processor for existing datasets
     accepts = [None]

datasources/instagram/search_instagram.py

@@ -21,7 +21,7 @@ class SearchInstagram(Search):
     title = "Import scraped Instagram data"  # title displayed in UI
     description = "Import Instagram data collected with an external tool such as Zeeschuimer."  # description displayed in UI
     extension = "ndjson"  # extension of result file, used internally and in UI
-    is_from_extension = True
+    is_from_zeeschuimer = True
 
     # not available as a processor for existing datasets
     accepts = [None]

datasources/linkedin/search_linkedin.py

@@ -21,7 +21,7 @@ class SearchLinkedIn(Search):
     title = "Import scraped LinkedIn data"  # title displayed in UI
     description = "Import LinkedIn data collected with an external tool such as Zeeschuimer."  # description displayed in UI
     extension = "ndjson"  # extension of result file, used internally and in UI
-    is_from_extension = True
+    is_from_zeeschuimer = True
 
     # not available as a processor for existing datasets
     accepts = [None]

datasources/ninegag/search_9gag.py

@@ -19,7 +19,7 @@ class SearchNineGag(Search):
     title = "Import scraped 9gag data"  # title displayed in UI
     description = "Import 9gag data collected with an external tool such as Zeeschuimer."  # description displayed in UI
     extension = "ndjson"  # extension of result file, used internally and in UI
-    is_from_extension = True
+    is_from_zeeschuimer = True
 
     # not available as a processor for existing datasets
     accepts = [None]

datasources/tiktok_comments/search_tiktok_comments.py

@@ -20,7 +20,7 @@ class SearchTikTokComments(Search):
     title = "Import scraped Tiktok comment data"  # title displayed in UI
     description = "Import Tiktok comment data collected with an external tool such as Zeeschuimer."  # description displayed in UI
     extension = "ndjson"  # extension of result file, used internally and in UI
-    is_from_extension = True
+    is_from_zeeschuimer = True
 
     # not available as a processor for existing datasets
     accepts = [None]

datasources/truth/search_truth.py

@@ -16,7 +16,7 @@ class SearchGab(Search):
     title = "Import scraped Truth Social data"  # title displayed in UI
     description = "Import Truth Social data collected with an external tool such as Zeeschuimer."  # description displayed in UI
     extension = "ndjson"  # extension of result file, used internally and in UI
-    is_from_extension = True
+    is_from_zeeschuimer = True
     fake = ""
 
     # not available as a processor for existing datasets

datasources/twitter-import/search_twitter.py

@@ -20,7 +20,7 @@ class SearchTwitterViaZeeschuimer(Search):
     title = "Import scraped X/Twitter data"  # title displayed in UI
     description = "Import X/Twitter data collected with an external tool such as Zeeschuimer."  # description displayed in UI
     extension = "ndjson"  # extension of result file, used internally and in UI
-    is_from_extension = True
+    is_from_zeeschuimer = True
 
     # not available as a processor for existing datasets
     accepts = []

webtool/templates/data-overview.html

@@ -45,7 +45,7 @@ <h3>Metadata</h3>
                                         <li>The data for this data source are gathered and stored by this 4CAT instance.</li>
                                     {% elif label == "static" %}
                                         <li>The data for this datasource are not updated anymore and show a static snapshot.</li>
-                                    {% elif label == "extension" %}
+                                    {% elif label == "zeeschuimer" %}
                                         <li>The data for this datasource are collected with <a href="https://github.com/digitalmethodsinitiative/zeeschuimer">Zeeschuimer</a>.</li>
                                     {% elif label == "external" %}
                                         <li>The data for this datasource is collected externally (API or custom upload).</li>

webtool/views/views_misc.py

@@ -155,8 +155,8 @@ def data_overview(datasource=None):
         if is_static:
             labels.append("static")
 
-        if hasattr(worker_class, "is_from_extension"):
-            labels.append("extension")
+        if hasattr(worker_class, "is_from_zeeschuimer"):
+            labels.append("zeeschuimer")
 
         # Get daily post counts for local datasource to display in a graph
         if is_local == "local":