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NyashaK commited on
Commit
4102fc7
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1 Parent(s): 4e02e1d

adding logging

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Files changed (3) hide show
  1. __pycache__/app.cpython-310.pyc +0 -0
  2. app.py +16 -6
  3. logs/ronald_ai.log +177 -0
__pycache__/app.cpython-310.pyc CHANGED
Binary files a/__pycache__/app.cpython-310.pyc and b/__pycache__/app.cpython-310.pyc differ
 
app.py CHANGED
@@ -33,12 +33,22 @@ async def set_starters():
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  cl.Starter(
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  label="Technical skills summary",
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- message=f"""Provide a markdown-formatted summary of Ronald’s technical skills grouped into categories such as Programming, Data Engineering, Cloud, Machine Learning, and Tools.
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- - **Programming:** List programming languages Ronald is proficient in.
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- - **Data Engineering:** List data engineering tools and technologies.
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- - **Cloud:** List cloud platforms and services Ronald has experience with.
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- - **Machine Learning:** List machine learning frameworks and libraries.
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- - **Tools:** List other relevant tools and software Ronald uses.
 
 
 
 
 
 
 
 
 
 
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  """,
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  icon="https://cdn-icons-png.flaticon.com/512/1055/1055644.png",
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  ),
 
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  cl.Starter(
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  label="Technical skills summary",
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+ message=f"""Generate a formatted summary of Ronald’s technical capabilities grouped into the following categories:
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+ - **Programming & Machine Learning:** List programming languages, ML libraries, and modeling tools.
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+ - **Data Engineering & MLOps:** List technologies related to data pipelines, orchestration, deployment, and MLOps.
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+ - **Visualization & Analytics:** List tools and methods for dashboards, EDA, forecasting, and experimental analysis.
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+ - **Cloud, Databases & Storage:** List cloud platforms, databases, and data storage technologies.
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+
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+ Format the response like this:
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+ ### Technical Capabilities
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+ **Programming & Machine Learning:**
45
+ [List as a comma-separated line]
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+ **Data Engineering & MLOps:**
47
+ [List as a comma-separated line]
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+ **Visualization & Analytics:**
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+ [List as a comma-separated line]
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+ **Cloud, Databases & Storage:**
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+ [List as a comma-separated line]
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  """,
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  icon="https://cdn-icons-png.flaticon.com/512/1055/1055644.png",
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  ),
logs/ronald_ai.log CHANGED
@@ -526,3 +526,180 @@ These projects and experiences highlight Ronald's proficiency in creating effici
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  2025-06-12 16:53:41.941 | INFO | app.py:main:143 - LLM response received.
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  2025-06-12 16:53:48.128 | INFO | app.py:main:151 - Message sent back to client.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  2025-06-12 16:53:41.941 | INFO | app.py:main:143 - LLM response received.
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  2025-06-12 16:53:48.128 | INFO | app.py:main:151 - Message sent back to client.
529
+ 2025-06-12 16:55:16.938 | INFO | app.py:<module>:9 - Starting Ronald AI App
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+ 2025-06-12 16:55:21.137 | INFO | app.py:start:94 - LLM and embedding models initialized.
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+ 2025-06-12 16:55:21.895 | INFO | app.py:start:94 - LLM and embedding models initialized.
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+ 2025-06-12 16:55:22.810 | INFO | app.py:start:94 - LLM and embedding models initialized.
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+ 2025-06-12 16:55:34.747 | INFO | app.py:start:94 - LLM and embedding models initialized.
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+ 2025-06-12 16:55:35.676 | INFO | app.py:main:140 - Received message: Provide a clear and professional summary of Ronald’s background, including his current focus, key strengths, and the industries he has worked in. Format the response as a well-structured paragraph.
535
+ 2025-06-12 16:55:36.122 | INFO | app.py:main:143 - LLM response received.
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+ 2025-06-12 16:55:38.901 | INFO | app.py:main:151 - Message sent back to client.
537
+ 2025-06-12 16:55:44.871 | INFO | app.py:start:94 - LLM and embedding models initialized.
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+ 2025-06-12 16:55:44.933 | INFO | app.py:main:140 - Received message: Provide a markdown-formatted summary of Ronald’s technical skills grouped into categories such as Programming, Data Engineering, Cloud, Machine Learning, and Tools.
539
+ - **Programming:** List programming languages Ronald is proficient in.
540
+ - **Data Engineering:** List data engineering tools and technologies.
541
+ - **Cloud:** List cloud platforms and services Ronald has experience with.
542
+ - **Machine Learning:** List machine learning frameworks and libraries.
543
+ - **Tools:** List other relevant tools and software Ronald uses.
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+
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+ 2025-06-12 16:55:45.243 | INFO | app.py:main:143 - LLM response received.
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+ 2025-06-12 16:55:47.102 | INFO | app.py:main:151 - Message sent back to client.
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+ 2025-06-12 16:56:15.003 | INFO | app.py:start:94 - LLM and embedding models initialized.
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+ 2025-06-12 16:56:17.306 | INFO | app.py:main:140 - Received message: Describe Ronald’s experience with data and AI. Include tools and platforms used, types of pipelines or systems built, and example projects. Use clear paragraphs or bullet points for readability.
549
+ 2025-06-12 16:56:17.599 | INFO | app.py:main:143 - LLM response received.
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+ 2025-06-12 16:56:22.192 | INFO | app.py:main:151 - Message sent back to client.
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+ 2025-06-12 16:56:28.434 | INFO | app.py:start:94 - LLM and embedding models initialized.
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+ 2025-06-12 16:56:28.968 | INFO | app.py:main:140 - Received message: Describe one of the best projects Ronald has worked on. Cover the following points in your answer:
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+ - **Title:** What was the project's title?
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+ - **Objective:** What was the main goal of the project?
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+ - **Architecture:** How was the system designed? (e.g., Kafka, Spark, DynamoDB)
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+ - **Achievements:** What specific parts did Ronald build or accomplish?
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+ - **Outcome:** What was the final result or impact?
558
+ 2025-06-12 16:56:29.247 | INFO | app.py:main:143 - LLM response received.
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+ 2025-06-12 16:56:30.508 | INFO | app.py:main:151 - Message sent back to client.
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+ 2025-06-12 16:56:35.113 | INFO | app.py:start:94 - LLM and embedding models initialized.
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+ 2025-06-12 16:56:35.214 | INFO | app.py:main:140 - Received message: Please generate a list of the academic degrees and professional certifications for Ronald Nyasha Kanyepi.Present the information using the format below:
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+ ### Academic Background
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+ - **[Degree Name]**
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+ - **Institution:** [Name of Institution]
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+ - **Location:** [City, State/Country]
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+ - **Graduation Year:** [Month] [Year]
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+ - **Notes:** [Include any honors or awards here]
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+ ### Certifications
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+ [Name of Certification]
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+
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+ 2025-06-12 16:56:35.505 | INFO | app.py:main:143 - LLM response received.
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+ 2025-06-12 16:56:37.007 | INFO | app.py:main:151 - Message sent back to client.
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+ 2025-06-12 16:58:04.121 | INFO | app.py:start:94 - LLM and embedding models initialized.
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+ 2025-06-12 17:01:51.907 | INFO | app.py:main:140 - Received message: Describe one of the best projects Ronald has worked on. Cover the following points in your answer:
575
+ - **Title:** What was the project's title?
576
+ - **Objective:** What was the main goal of the project?
577
+ - **Architecture:** How was the system designed? (e.g., Kafka, Spark, DynamoDB)
578
+ - **Achievements:** What specific parts did Ronald build or accomplish?
579
+ - **Outcome:** What was the final result or impact?
580
+ 2025-06-12 17:01:52.205 | INFO | app.py:main:143 - LLM response received.
581
+ 2025-06-12 17:01:54.189 | INFO | app.py:main:151 - Message sent back to client.
582
+ 2025-06-12 17:02:11.126 | INFO | app.py:start:94 - LLM and embedding models initialized.
583
+ 2025-06-12 17:02:13.000 | INFO | app.py:main:140 - Received message: Provide a markdown-formatted summary of Ronald’s technical skills grouped into categories such as Programming, Data Engineering, Cloud, Machine Learning, and Tools.
584
+ - **Programming:** List programming languages Ronald is proficient in.
585
+ - **Data Engineering:** List data engineering tools and technologies.
586
+ - **Cloud:** List cloud platforms and services Ronald has experience with.
587
+ - **Machine Learning:** List machine learning frameworks and libraries.
588
+ - **Tools:** List other relevant tools and software Ronald uses.
589
+
590
+ 2025-06-12 17:02:13.309 | INFO | app.py:main:143 - LLM response received.
591
+ 2025-06-12 17:02:14.789 | INFO | app.py:main:151 - Message sent back to client.
592
+ 2025-06-12 17:04:59.858 | INFO | app.py:<module>:9 - Starting Ronald AI App
593
+ 2025-06-12 17:05:03.887 | INFO | app.py:start:88 - LLM and embedding models initialized.
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+ 2025-06-12 17:05:04.886 | INFO | app.py:start:88 - LLM and embedding models initialized.
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+ 2025-06-12 17:07:24.595 | INFO | app.py:start:88 - LLM and embedding models initialized.
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+ 2025-06-12 17:07:24.664 | INFO | app.py:main:134 - Received message: Provide a well formatted summary of Ronald’s technical capabilities grouped into their respective categories.
597
+ 2025-06-12 17:07:25.172 | INFO | app.py:main:137 - LLM response received.
598
+ 2025-06-12 17:07:28.918 | INFO | app.py:main:145 - Message sent back to client.
599
+ 2025-06-12 17:11:59.005 | INFO | app.py:<module>:9 - Starting Ronald AI App
600
+ 2025-06-12 17:12:04.181 | INFO | app.py:start:109 - LLM and embedding models initialized.
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+ 2025-06-12 17:12:04.809 | INFO | app.py:start:109 - LLM and embedding models initialized.
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+ 2025-06-12 17:12:05.513 | INFO | app.py:start:109 - LLM and embedding models initialized.
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+ 2025-06-12 17:12:07.244 | INFO | app.py:main:155 - Received message: Generate a markdown-formatted summary of Ronald’s technical capabilities grouped into the following categories:
604
+ - **Programming & Machine Learning:** List programming languages, ML libraries, and modeling tools.
605
+ - **Data Engineering & MLOps:** List technologies related to data pipelines, orchestration, deployment, and MLOps.
606
+ - **Visualization & Analytics:** List tools and methods for dashboards, EDA, forecasting, and experimental analysis.
607
+ - **Cloud, Databases & Storage:** List cloud platforms, databases, and data storage technologies.
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+
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+ Format the response like this:
610
+
611
+ ### Technical Capabilities
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+
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+ **Programming & Machine Learning:**
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+ [List as a comma-separated line]
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+
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+ **Data Engineering & MLOps:**
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+ [List as a comma-separated line]
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+
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+ **Visualization & Analytics:**
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+ [List as a comma-separated line]
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+
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+ **Cloud, Databases & Storage:**
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+ [List as a comma-separated line]
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+
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+ 2025-06-12 17:12:07.696 | INFO | app.py:main:158 - LLM response received.
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+ 2025-06-12 17:12:10.927 | INFO | app.py:main:166 - Message sent back to client.
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+ 2025-06-12 17:13:12.256 | INFO | app.py:<module>:9 - Starting Ronald AI App
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+ 2025-06-12 17:13:17.292 | INFO | app.py:start:104 - LLM and embedding models initialized.
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+ 2025-06-12 17:13:19.437 | INFO | app.py:start:104 - LLM and embedding models initialized.
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+ 2025-06-12 17:16:15.719 | INFO | app.py:main:150 - Received message: Generate a markdown-formatted summary of Ronald’s technical capabilities grouped into the following categories:
631
+ - **Programming & Machine Learning:** List programming languages, ML libraries, and modeling tools.
632
+ - **Data Engineering & MLOps:** List technologies related to data pipelines, orchestration, deployment, and MLOps.
633
+ - **Visualization & Analytics:** List tools and methods for dashboards, EDA, forecasting, and experimental analysis.
634
+ - **Cloud, Databases & Storage:** List cloud platforms, databases, and data storage technologies.
635
+
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+ Format the response like this:
637
+ ### Technical Capabilities
638
+ **Programming & Machine Learning:**
639
+ [List as a comma-separated line]
640
+ **Data Engineering & MLOps:**
641
+ [List as a comma-separated line]
642
+ **Visualization & Analytics:**
643
+ [List as a comma-separated line]
644
+ **Cloud, Databases & Storage:**
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+ [List as a comma-separated line]
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+
647
+ 2025-06-12 17:16:16.228 | INFO | app.py:main:153 - LLM response received.
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+ 2025-06-12 17:16:19.046 | INFO | app.py:main:161 - Message sent back to client.
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+ 2025-06-12 17:17:02.627 | INFO | app.py:<module>:9 - Starting Ronald AI App
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+ 2025-06-12 17:17:07.580 | INFO | app.py:start:104 - LLM and embedding models initialized.
651
+ 2025-06-12 17:17:07.644 | INFO | app.py:main:150 - Received message: Generate a formatted summary of Ronald’s technical capabilities grouped into the following categories:
652
+ - **Programming & Machine Learning:** List programming languages, ML libraries, and modeling tools.
653
+ - **Data Engineering & MLOps:** List technologies related to data pipelines, orchestration, deployment, and MLOps.
654
+ - **Visualization & Analytics:** List tools and methods for dashboards, EDA, forecasting, and experimental analysis.
655
+ - **Cloud, Databases & Storage:** List cloud platforms, databases, and data storage technologies.
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+
657
+ Format the response like this:
658
+ ### Technical Capabilities
659
+ **Programming & Machine Learning:**
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+ [List as a comma-separated line]
661
+ **Data Engineering & MLOps:**
662
+ [List as a comma-separated line]
663
+ **Visualization & Analytics:**
664
+ [List as a comma-separated line]
665
+ **Cloud, Databases & Storage:**
666
+ [List as a comma-separated line]
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+
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+ 2025-06-12 17:17:08.103 | INFO | app.py:main:153 - LLM response received.
669
+ 2025-06-12 17:17:10.070 | INFO | app.py:start:104 - LLM and embedding models initialized.
670
+ 2025-06-12 17:17:10.913 | INFO | app.py:start:104 - LLM and embedding models initialized.
671
+ 2025-06-12 17:17:11.227 | INFO | app.py:main:161 - Message sent back to client.
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+ 2025-06-12 17:17:22.934 | INFO | app.py:start:104 - LLM and embedding models initialized.
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+ 2025-06-12 17:17:23.866 | INFO | app.py:main:150 - Received message:
674
+ List Ronald's top 5 most impactful projects starting with the most impactful. For each project, use the following format:
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+ ### Project Name: [Name of the project]
676
+ - **Objective:** [What was the goal?]
677
+ - **My Role & Achievements:** [What did Ronald do and what was the result?]
678
+ - **Technologies Used:** [List of tools and technologies]
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+ - **Source URL:** [Source URL]
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+ - **Demo URL:** [Demo URL if available; if not, skip]
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+
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+ 2025-06-12 17:17:24.236 | INFO | app.py:main:153 - LLM response received.
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+ 2025-06-12 17:17:31.330 | INFO | app.py:main:161 - Message sent back to client.
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+ 2025-06-12 17:18:20.823 | INFO | app.py:start:104 - LLM and embedding models initialized.
685
+ 2025-06-12 17:18:23.415 | INFO | app.py:main:150 - Received message: Provide a clear and professional summary of Ronald’s background, including his current focus, key strengths, and the industries he has worked in. Format the response as a well-structured paragraph.
686
+ 2025-06-12 17:18:23.701 | INFO | app.py:main:153 - LLM response received.
687
+ 2025-06-12 17:18:25.411 | INFO | app.py:main:161 - Message sent back to client.
688
+ 2025-06-12 17:18:40.631 | INFO | app.py:main:150 - Received message: give me a timeline of my work experience
689
+ 2025-06-12 17:18:40.685 | INFO | app.py:main:153 - LLM response received.
690
+ 2025-06-12 17:18:43.858 | INFO | app.py:main:161 - Message sent back to client.
691
+ 2025-06-12 17:18:52.040 | INFO | app.py:main:150 - Received message: in descending order
692
+ 2025-06-12 17:18:52.101 | INFO | app.py:main:153 - LLM response received.
693
+ 2025-06-12 17:18:53.280 | INFO | app.py:main:161 - Message sent back to client.
694
+ 2025-06-12 17:19:10.342 | INFO | app.py:main:150 - Received message: give me a timeline of my work experience in descending order
695
+ 2025-06-12 17:19:10.400 | INFO | app.py:main:153 - LLM response received.
696
+ 2025-06-12 17:19:13.464 | INFO | app.py:main:161 - Message sent back to client.
697
+ 2025-06-12 17:19:30.582 | INFO | app.py:main:150 - Received message: provide contact details
698
+ 2025-06-12 17:19:30.633 | INFO | app.py:main:153 - LLM response received.
699
+ 2025-06-12 17:19:31.919 | INFO | app.py:main:161 - Message sent back to client.
700
+ 2025-06-12 17:19:58.155 | INFO | app.py:main:150 - Received message: provide mobile number
701
+ 2025-06-12 17:19:58.205 | INFO | app.py:main:153 - LLM response received.
702
+ 2025-06-12 17:19:59.167 | INFO | app.py:main:161 - Message sent back to client.
703
+ 2025-06-12 17:20:20.758 | INFO | app.py:main:150 - Received message: what are the AI tools does he know and relevant projects
704
+ 2025-06-12 17:20:20.803 | INFO | app.py:main:153 - LLM response received.
705
+ 2025-06-12 17:20:23.063 | INFO | app.py:main:161 - Message sent back to client.