add streamlit analytics

.gitignore

@@ -17,5 +17,4 @@ secrets.toml
 *Grokking
 *interp_on_model*.ipynb
 *other_solns
-*gitignore
-*analytics.json
+*gitignore

chapter0_fundamentals/instructions/pages/01_[0.1]_Ray_Tracing.py

@@ -14,6 +14,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -1958,4 +1964,9 @@ def raytrace_mesh_lambert_wireframe(triangles: t.Tensor, rays: t.Tensor, triangl
 
 """, unsafe_allow_html=True)
 
-section_0()
+section_0()
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter0_fundamentals/instructions/pages/02_[0.2]_CNNs.py

@@ -51,13 +51,8 @@ def section_0():
 
 <img src="https://raw.githubusercontent.com/callummcdougall/Fundamentals/main/images/cnn.png" width="350">
 
-
-
-
-
 ## Introduction
 
-
 This section is designed to get you familiar with basic neural networks: how they are structured, the basic operations like linear layers and convolutions which go into making them, and why they work as well as they do. You'll be using libraries like `einops`, and functions like `torch.as_strided` to get a very low-level picture of how these operations work, which will help build up your overall understanding.
 
 Note that `torch.as_strided` isn't something which will come up explicitly in much of the rest of the course (unlike `einops`). The purpose of the stride exercises is more to give you an appreciation for what's going on under the hood, so that we can build layers of abstraction on top of that during the rest of this week (and by extension this course). I see this as analogous to how [many CS courses](https://cs50.harvard.edu/x/2023/) start by teaching you about languages like C and concepts like pointers and memory management before moving on to higher-level langauges like Python which abstract away these details. The hope is that when you get to the later sections of the course, you'll have the tools to understand them better.

chapter0_fundamentals/instructions/pages/03_[0.3]_ResNets.py

@@ -14,6 +14,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -2161,3 +2167,9 @@ def page():
     func()
 
 page()
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter0_fundamentals/instructions/pages/04_[0.4]_Optimization.py

@@ -14,6 +14,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(
@@ -1874,3 +1880,9 @@ def page():
     func()
 
 page()
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter0_fundamentals/instructions/pages/05_[0.5]_Backprop.py

@@ -14,6 +14,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -3589,3 +3595,9 @@ def page():
     func()
 
 page()
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter0_fundamentals/instructions/pages/99_🤖_Chatbot.py

@@ -23,6 +23,12 @@
 sys.path.append(str(root_path))
 sys.path.append(str(root_path.parent))
 
+ANALYTICS_PATH = root_path / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 from chatbot import answer_question, Embedding, EmbeddingGroup
 
 files = (root_path / "pages").glob("*.py")
@@ -172,4 +178,9 @@
 # sort chronologically after top-k
 # block signature
 
-# %%
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/01_[1.1]_Transformer_from_Scratch.py

@@ -20,6 +20,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -4060,3 +4066,9 @@ def page():
     func()
 
 page()
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/02_[1.2]_Intro_to_Mech_Interp.py

@@ -22,6 +22,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -3753,3 +3759,9 @@ def page():
     func()
 
 page()
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/03_[1.3]_Indirect_Object_Identification.py

@@ -19,6 +19,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -4449,3 +4455,9 @@ def page():
     func()
 
 page()
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/04_[1.4]_Balanced_Bracket_Classifier.py

@@ -19,6 +19,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -2508,3 +2514,9 @@ def page():
     func()
 
 page()
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/05_[1.5]_Grokking_and_Modular_Arithmetic.py

@@ -19,6 +19,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -3265,3 +3271,8 @@ def page():
     func()
 
 page()
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/06_[1.6]_OthelloGPT.py

@@ -19,6 +19,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -3184,3 +3190,8 @@ def page():
     func()
 
 page()
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/07_[1.7]_Toy_Models_of_Superposition.py

@@ -19,6 +19,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0():
 
     st.sidebar.markdown(r"""
@@ -1406,4 +1412,9 @@ def compute_dimensionality(
 * [Open questions](https://transformer-circuits.pub/2022/toy_model/index.html#open-questions) from the original Anthropic paper. What do you think about them? Do any seem tractible to you?
 """, unsafe_allow_html=True)
 
-section_0()
+section_0()
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/08_Reference_Page.py

@@ -19,6 +19,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 st.sidebar.markdown(r"""
 
 ## Table of Contents
@@ -400,4 +406,10 @@ def forward(self, x):
 
 Your workflow might use all three of these, e.g. working in VSCode using a combination of notebooks for exploratory analysis and Python files for writing functions that you'll import into your notebooks, then finally converting your notebooks to Colabs to publish your results.
 
-""", unsafe_allow_html=True)
+""", unsafe_allow_html=True)
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/09_Monthly_Algorithmic_Problems.py

@@ -19,6 +19,12 @@
 import platform
 is_local = (platform.processor() != "")
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 def section_0_july():
 
     st.sidebar.markdown(r"""
@@ -1307,3 +1313,9 @@ def page():
     func()
 
 page()
+
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/99_🤖_Chatbot.py

@@ -28,6 +28,12 @@
 if str(instructions_dir) not in sys.path: sys.path.append(str(instructions_dir))
 os.chdir(instructions_dir)
 
+ANALYTICS_PATH = instructions_dir / "pages/analytics.json"
+import streamlit_analytics
+streamlit_analytics.start_tracking(
+    load_from_json=ANALYTICS_PATH.resolve(),
+)
+
 from chatbot import answer_question, Embedding, EmbeddingGroup
 
 files = (instructions_dir / "pages").glob("*.py")
@@ -176,4 +182,9 @@
 # sort chronologically after top-k
 # block signature
 
-# %%
+# %%
+
+streamlit_analytics.stop_tracking(
+    unsafe_password=st.secrets["analytics_password"],
+    save_to_json=ANALYTICS_PATH.resolve(),
+)

chapter1_transformers/instructions/pages/analytics.json

@@ -0,0 +1 @@
+{"loaded_from_firestore": false, "total_pageviews": 3, "total_script_runs": 11, "total_time_seconds": 128.336865, "per_day": {"days": ["2023-08-08", "2023-08-09"], "pageviews": [0, 3], "script_runs": [0, 11]}, "widgets": {}, "start_time": "09 Aug 2023, 17:43:29"}