Automatically generated by github-worflow[bot] for commit: 0a4b5c8

Author: iguazio-cicd

README.md

@@ -1,3 +1,52 @@
+### Change log [2026-01-06 15:06:26]
+1. Item Updated: `verify_schema` (from version: `1.0.0` to `1.0.0`)
+
+### Change log [2026-01-06 15:06:21]
+1. Item Updated: `agent_deployer` (from version: `1.0.0` to `1.0.0`)
+2. Item Updated: `histogram_data_drift` (from version: `1.0.0` to `1.0.0`)
+3. Item Updated: `openai_proxy_app` (from version: `1.0.0` to `1.0.0`)
+4. Item Updated: `vllm_module` (from version: `1.0.0` to `1.0.0`)
+5. Item Updated: `count_events` (from version: `1.0.0` to `1.0.0`)
+6. Item Updated: `evidently_iris` (from version: `1.0.0` to `1.0.0`)
+
+### Change log [2026-01-06 15:06:12]
+1. Item Updated: `test_classifier` (from version: `1.1.0` to `1.1.0`)
+2. Item Updated: `sklearn_classifier` (from version: `1.2.0` to `1.2.0`)
+3. Item Updated: `model_server_tester` (from version: `1.1.0` to `1.1.0`)
+4. Item Updated: `azureml_serving` (from version: `1.1.0` to `1.1.0`)
+5. Item Updated: `describe_dask` (from version: `1.2.0` to `1.2.0`)
+6. Item Updated: `batch_inference` (from version: `1.8.0` to `1.8.0`)
+7. Item Updated: `v2_model_server` (from version: `1.2.0` to `1.2.0`)
+8. Item Updated: `gen_class_data` (from version: `1.3.0` to `1.3.0`)
+9. Item Updated: `send_email` (from version: `1.2.0` to `1.2.0`)
+10. Item Updated: `tf2_serving` (from version: `1.1.0` to `1.1.0`)
+11. Item Updated: `aggregate` (from version: `1.4.0` to `1.4.0`)
+12. Item Updated: `open_archive` (from version: `1.2.0` to `1.2.0`)
+13. Item Updated: `describe` (from version: `1.4.0` to `1.4.0`)
+14. Item Updated: `v2_model_tester` (from version: `1.1.0` to `1.1.0`)
+15. Item Updated: `text_to_audio_generator` (from version: `1.3.0` to `1.3.0`)
+16. Item Updated: `pii_recognizer` (from version: `0.4.0` to `0.4.0`)
+17. Item Updated: `github_utils` (from version: `1.1.0` to `1.1.0`)
+18. Item Updated: `sklearn_classifier_dask` (from version: `1.1.1` to `1.1.1`)
+19. Item Updated: `azureml_utils` (from version: `1.4.0` to `1.4.0`)
+20. Item Updated: `question_answering` (from version: `0.5.0` to `0.5.0`)
+21. Item Updated: `structured_data_generator` (from version: `1.6.0` to `1.6.0`)
+22. Item Updated: `arc_to_parquet` (from version: `1.5.0` to `1.5.0`)
+23. Item Updated: `silero_vad` (from version: `1.4.0` to `1.4.0`)
+24. Item Updated: `load_dataset` (from version: `1.2.0` to `1.2.0`)
+25. Item Updated: `auto_trainer` (from version: `1.8.0` to `1.8.0`)
+26. Item Updated: `feature_selection` (from version: `1.6.0` to `1.6.0`)
+27. Item Updated: `translate` (from version: `0.3.0` to `0.3.0`)
+28. Item Updated: `describe_spark` (from version: `1.1.0` to `1.1.0`)
+29. Item Updated: `pyannote_audio` (from version: `1.3.0` to `1.3.0`)
+30. Item Updated: `onnx_utils` (from version: `1.3.0` to `1.3.0`)
+31. Item Updated: `batch_inference_v2` (from version: `2.6.0` to `2.6.0`)
+32. Item Updated: `transcribe` (from version: `1.2.0` to `1.2.0`)
+33. Item Updated: `model_server` (from version: `1.2.0` to `1.2.0`)
+34. Item Updated: `mlflow_utils` (from version: `1.1.0` to `1.1.0`)
+35. Item Updated: `noise_reduction` (from version: `1.1.0` to `1.1.0`)
+36. Item Updated: `hugging_face_serving` (from version: `1.1.0` to `1.1.0`)
+
 ### Change log [2026-01-01 11:58:47]
 1. New item created: `verify_schema` (version: `1.0.0`)
 

functions/development/tags.json

@@ -1 +1 @@
-{"kind": ["serving", "nuclio:serving", "job"], "categories": ["model-testing", "genai", "machine-learning", "data-generation", "NLP", "deep-learning", "utils", "data-preparation", "model-serving", "model-training", "monitoring", "audio", "data-analysis"]}
+{"kind": ["nuclio:serving", "serving", "job"], "categories": ["NLP", "model-testing", "model-serving", "audio", "utils", "machine-learning", "deep-learning", "model-training", "data-analysis", "data-generation", "genai", "monitoring", "data-preparation"]}

modules/development/agent_deployer/1.0.0/src/agent_deployer.py

@@ -22,8 +22,17 @@
 from mlrun.datastore.datastore_profile import (
     DatastoreProfileV3io,
     DatastoreProfileKafkaStream,
-    DatastoreProfileTDEngine,
 )
+
+# TimescaleDB support (mlrun >= 1.11), fallback to TDEngine for older versions
+try:
+    from mlrun.datastore.datastore_profile import DatastoreProfilePostgreSQL
+
+    _USE_TIMESCALEDB = True
+except ImportError:
+    from mlrun.datastore.datastore_profile import DatastoreProfileTDEngine
+
+    _USE_TIMESCALEDB = False
 from mlrun.utils import logger
 
 
@@ -87,13 +96,24 @@ def configure_model_monitoring(self):
             )
         if mlconf.is_ce_mode():
             mlrun_namespace = os.environ.get("MLRUN_NAMESPACE", "mlrun")
-            tsdb_profile = DatastoreProfileTDEngine(
-                name="tdengine-tsdb-profile",
-                user="root",
-                password="taosdata",
-                host=f"tdengine-tsdb.{mlrun_namespace}.svc.cluster.local",
-                port="6041",
-            )
+            if _USE_TIMESCALEDB:
+                tsdb_profile = DatastoreProfilePostgreSQL(
+                    name="timescaledb-tsdb-profile",
+                    user="postgres",
+                    password="postgres",
+                    host=f"timescaledb.{mlrun_namespace}.svc.cluster.local",
+                    port="5432",
+                    database="postgres",
+                )
+            else:
+                # Fallback for older mlrun versions
+                tsdb_profile = DatastoreProfileTDEngine(
+                    name="tdengine-tsdb-profile",
+                    user="root",
+                    password="taosdata",
+                    host=f"tdengine-tsdb.{mlrun_namespace}.svc.cluster.local",
+                    port="6041",
+                )
 
             stream_profile = DatastoreProfileKafkaStream(
                 name="kafka-stream-profile",

modules/development/agent_deployer/1.0.0/src/requirements.txt

@@ -1,2 +1,2 @@
-mlrun==1.10.0-rc41
+mlrun==1.10.0
 pytest~=8.2

modules/development/agent_deployer/1.0.0/static/agent_deployer.html

@@ -164,8 +164,17 @@ <h1>Source code for agent_deployer.agent_deployer</h1><div class="highlight"><pr
 <span class="kn">from</span><span class="w"> </span><span class="nn">mlrun.datastore.datastore_profile</span><span class="w"> </span><span class="kn">import</span> <span class="p">(</span>
     <span class="n">DatastoreProfileV3io</span><span class="p">,</span>
     <span class="n">DatastoreProfileKafkaStream</span><span class="p">,</span>
-    <span class="n">DatastoreProfileTDEngine</span><span class="p">,</span>
 <span class="p">)</span>
+
+<span class="c1"># TimescaleDB support (mlrun &gt;= 1.11), fallback to TDEngine for older versions</span>
+<span class="k">try</span><span class="p">:</span>
+    <span class="kn">from</span><span class="w"> </span><span class="nn">mlrun.datastore.datastore_profile</span><span class="w"> </span><span class="kn">import</span> <span class="n">DatastoreProfilePostgreSQL</span>
+
+    <span class="n">_USE_TIMESCALEDB</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
+    <span class="kn">from</span><span class="w"> </span><span class="nn">mlrun.datastore.datastore_profile</span><span class="w"> </span><span class="kn">import</span> <span class="n">DatastoreProfileTDEngine</span>
+
+    <span class="n">_USE_TIMESCALEDB</span> <span class="o">=</span> <span class="kc">False</span>
 <span class="kn">from</span><span class="w"> </span><span class="nn">mlrun.utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">logger</span>
 
 
@@ -233,13 +242,24 @@ <h1>Source code for agent_deployer.agent_deployer</h1><div class="highlight"><pr
             <span class="p">)</span>
         <span class="k">if</span> <span class="n">mlconf</span><span class="o">.</span><span class="n">is_ce_mode</span><span class="p">():</span>
             <span class="n">mlrun_namespace</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"MLRUN_NAMESPACE"</span><span class="p">,</span> <span class="s2">"mlrun"</span><span class="p">)</span>
-            <span class="n">tsdb_profile</span> <span class="o">=</span> <span class="n">DatastoreProfileTDEngine</span><span class="p">(</span>
-                <span class="n">name</span><span class="o">=</span><span class="s2">"tdengine-tsdb-profile"</span><span class="p">,</span>
-                <span class="n">user</span><span class="o">=</span><span class="s2">"root"</span><span class="p">,</span>
-                <span class="n">password</span><span class="o">=</span><span class="s2">"taosdata"</span><span class="p">,</span>
-                <span class="n">host</span><span class="o">=</span><span class="sa">f</span><span class="s2">"tdengine-tsdb.</span><span class="si">{</span><span class="n">mlrun_namespace</span><span class="si">}</span><span class="s2">.svc.cluster.local"</span><span class="p">,</span>
-                <span class="n">port</span><span class="o">=</span><span class="s2">"6041"</span><span class="p">,</span>
-            <span class="p">)</span>
+            <span class="k">if</span> <span class="n">_USE_TIMESCALEDB</span><span class="p">:</span>
+                <span class="n">tsdb_profile</span> <span class="o">=</span> <span class="n">DatastoreProfilePostgreSQL</span><span class="p">(</span>
+                    <span class="n">name</span><span class="o">=</span><span class="s2">"timescaledb-tsdb-profile"</span><span class="p">,</span>
+                    <span class="n">user</span><span class="o">=</span><span class="s2">"postgres"</span><span class="p">,</span>
+                    <span class="n">password</span><span class="o">=</span><span class="s2">"postgres"</span><span class="p">,</span>
+                    <span class="n">host</span><span class="o">=</span><span class="sa">f</span><span class="s2">"timescaledb.</span><span class="si">{</span><span class="n">mlrun_namespace</span><span class="si">}</span><span class="s2">.svc.cluster.local"</span><span class="p">,</span>
+                    <span class="n">port</span><span class="o">=</span><span class="s2">"5432"</span><span class="p">,</span>
+                    <span class="n">database</span><span class="o">=</span><span class="s2">"postgres"</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="c1"># Fallback for older mlrun versions</span>
+                <span class="n">tsdb_profile</span> <span class="o">=</span> <span class="n">DatastoreProfileTDEngine</span><span class="p">(</span>
+                    <span class="n">name</span><span class="o">=</span><span class="s2">"tdengine-tsdb-profile"</span><span class="p">,</span>
+                    <span class="n">user</span><span class="o">=</span><span class="s2">"root"</span><span class="p">,</span>
+                    <span class="n">password</span><span class="o">=</span><span class="s2">"taosdata"</span><span class="p">,</span>
+                    <span class="n">host</span><span class="o">=</span><span class="sa">f</span><span class="s2">"tdengine-tsdb.</span><span class="si">{</span><span class="n">mlrun_namespace</span><span class="si">}</span><span class="s2">.svc.cluster.local"</span><span class="p">,</span>
+                    <span class="n">port</span><span class="o">=</span><span class="s2">"6041"</span><span class="p">,</span>
+                <span class="p">)</span>
 
             <span class="n">stream_profile</span> <span class="o">=</span> <span class="n">DatastoreProfileKafkaStream</span><span class="p">(</span>
                 <span class="n">name</span><span class="o">=</span><span class="s2">"kafka-stream-profile"</span><span class="p">,</span>

modules/development/agent_deployer/1.0.0/static/source.html

@@ -52,8 +52,17 @@
 from mlrun.datastore.datastore_profile import (
     DatastoreProfileV3io,
     DatastoreProfileKafkaStream,
-    DatastoreProfileTDEngine,
 )
+
+# TimescaleDB support (mlrun >= 1.11), fallback to TDEngine for older versions
+try:
+    from mlrun.datastore.datastore_profile import DatastoreProfilePostgreSQL
+
+    _USE_TIMESCALEDB = True
+except ImportError:
+    from mlrun.datastore.datastore_profile import DatastoreProfileTDEngine
+
+    _USE_TIMESCALEDB = False
 from mlrun.utils import logger
 
 
@@ -117,13 +126,24 @@
             )
         if mlconf.is_ce_mode():
             mlrun_namespace = os.environ.get("MLRUN_NAMESPACE", "mlrun")
-            tsdb_profile = DatastoreProfileTDEngine(
-                name="tdengine-tsdb-profile",
-                user="root",
-                password="taosdata",
-                host=f"tdengine-tsdb.{mlrun_namespace}.svc.cluster.local",
-                port="6041",
-            )
+            if _USE_TIMESCALEDB:
+                tsdb_profile = DatastoreProfilePostgreSQL(
+                    name="timescaledb-tsdb-profile",
+                    user="postgres",
+                    password="postgres",
+                    host=f"timescaledb.{mlrun_namespace}.svc.cluster.local",
+                    port="5432",
+                    database="postgres",
+                )
+            else:
+                # Fallback for older mlrun versions
+                tsdb_profile = DatastoreProfileTDEngine(
+                    name="tdengine-tsdb-profile",
+                    user="root",
+                    password="taosdata",
+                    host=f"tdengine-tsdb.{mlrun_namespace}.svc.cluster.local",
+                    port="6041",
+                )
 
             stream_profile = DatastoreProfileKafkaStream(
                 name="kafka-stream-profile",

modules/development/agent_deployer/latest/src/agent_deployer.py

@@ -22,8 +22,17 @@
 from mlrun.datastore.datastore_profile import (
     DatastoreProfileV3io,
     DatastoreProfileKafkaStream,
-    DatastoreProfileTDEngine,
 )
+
+# TimescaleDB support (mlrun >= 1.11), fallback to TDEngine for older versions
+try:
+    from mlrun.datastore.datastore_profile import DatastoreProfilePostgreSQL
+
+    _USE_TIMESCALEDB = True
+except ImportError:
+    from mlrun.datastore.datastore_profile import DatastoreProfileTDEngine
+
+    _USE_TIMESCALEDB = False
 from mlrun.utils import logger
 
 
@@ -87,13 +96,24 @@ def configure_model_monitoring(self):
             )
         if mlconf.is_ce_mode():
             mlrun_namespace = os.environ.get("MLRUN_NAMESPACE", "mlrun")
-            tsdb_profile = DatastoreProfileTDEngine(
-                name="tdengine-tsdb-profile",
-                user="root",
-                password="taosdata",
-                host=f"tdengine-tsdb.{mlrun_namespace}.svc.cluster.local",
-                port="6041",
-            )
+            if _USE_TIMESCALEDB:
+                tsdb_profile = DatastoreProfilePostgreSQL(
+                    name="timescaledb-tsdb-profile",
+                    user="postgres",
+                    password="postgres",
+                    host=f"timescaledb.{mlrun_namespace}.svc.cluster.local",
+                    port="5432",
+                    database="postgres",
+                )
+            else:
+                # Fallback for older mlrun versions
+                tsdb_profile = DatastoreProfileTDEngine(
+                    name="tdengine-tsdb-profile",
+                    user="root",
+                    password="taosdata",
+                    host=f"tdengine-tsdb.{mlrun_namespace}.svc.cluster.local",
+                    port="6041",
+                )
 
             stream_profile = DatastoreProfileKafkaStream(
                 name="kafka-stream-profile",

modules/development/agent_deployer/latest/src/requirements.txt

@@ -1,2 +1,2 @@
-mlrun==1.10.0-rc41
+mlrun==1.10.0
 pytest~=8.2