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10 Commits

Author SHA1 Message Date
5469edfa98 fixing cookie import 2025-11-18 20:41:56 +01:00
bf42fe2d60 introduced supabase and experiment management UI 2025-11-18 20:25:00 +01:00
Daniel Alves Rösel
ab8b8787a8 13 agentic behavior runner v1 (#14)
* baseline setup of agent abstract

* feat: new implementation of simple AI agent that can follow a goal and return

* refactored import structure and created full tests

* pytest setup a github workflow to run tests + more ignores

* singularity for pushing

* fixing builds of PDFs

* inital structure of docs

* init styles and docs

* basic style implementation

* 13 create outline for research paper draft (#18)

* updated outline for paper from issue

* extra paper sections and some formalization of series data

* algorithms and acknowledgements

* updated outline for paper from issue

* Refactor docker-compose services to use individual Dockerfiles (#20)

* Initial plan

* Refactor services into individual Dockerfiles

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

* Add EXPOSE directives to all Dockerfiles with port documentation

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

* 2 nextjs scaffold with store mode shop and admin session experiment wiring event emission v1 (#17)

* chore: cleaning gitignore

* formating and env documentation

* feat: context switching of hotel/airline depndent on env var via middleware

* fixed alignment and building

* wrong file

* prods

* fixed applying style

* better session cookie management

* tentative session storage with maybe using airtable

* migrated api of ingestion

* events and products apge

* fixing build

* 13 create outline for research paper draft (#18)

* updated outline for paper from issue

* extra paper sections and some formalization of series data

* algorithms and acknowledgements

* updated outline for paper from issue

* upadted text formating

* event unification

* refactor tracking to ues callbacks instead of refs

* implement a pricing display api with session passing

* moved middleware to proxy according to new changes in Nextjs

* refactoed kafka ingestion to go via backend not web-db

* Refactor docker-compose services to use individual Dockerfiles (#20)

* Initial plan

* Refactor services into individual Dockerfiles

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

* Add EXPOSE directives to all Dockerfiles with port documentation

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

* fixing small bugs and adding exepriments to tracking

* added some doc

* fixing prod

* prod kafka server logging

* topic auto create

* pytest setup a github workflow to run tests + more ignores

* getting data from agents properly

* proper pipeline to handle data and build matrices

* fixing backend dumping

* fixing agents and ignore

* fixing import for tests

---------

Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
2025-11-15 16:16:01 +01:00
9bb6f842f4 topic auto create 2025-11-13 18:41:37 +01:00
53a39b07dd prod kafka server logging 2025-11-13 18:27:36 +01:00
4acfb019f8 fixing prod 2025-11-13 18:21:07 +01:00
Daniel Alves Rösel
37b2099ee0 2 nextjs scaffold with store mode shop and admin session experiment wiring event emission v1 (#17)
* chore: cleaning gitignore

* formating and env documentation

* feat: context switching of hotel/airline depndent on env var via middleware

* fixed alignment and building

* wrong file

* prods

* fixed applying style

* better session cookie management

* tentative session storage with maybe using airtable

* migrated api of ingestion

* events and products apge

* fixing build

* 13 create outline for research paper draft (#18)

* updated outline for paper from issue

* extra paper sections and some formalization of series data

* algorithms and acknowledgements

* updated outline for paper from issue

* upadted text formating

* event unification

* refactor tracking to ues callbacks instead of refs

* implement a pricing display api with session passing

* moved middleware to proxy according to new changes in Nextjs

* refactoed kafka ingestion to go via backend not web-db

* Refactor docker-compose services to use individual Dockerfiles (#20)

* Initial plan

* Refactor services into individual Dockerfiles

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

* Add EXPOSE directives to all Dockerfiles with port documentation

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

* fixing small bugs and adding exepriments to tracking

* added some doc
2025-11-13 18:07:27 +01:00
Copilot
7ece6e82cb Refactor docker-compose services to use individual Dockerfiles (#20)
* Initial plan

* Refactor services into individual Dockerfiles

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

* Add EXPOSE directives to all Dockerfiles with port documentation

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>
2025-11-12 16:11:50 +01:00
6b7060450c updated outline for paper from issue 2025-11-07 14:46:02 +01:00
Daniel Alves Rösel
f6e780fdf1 13 create outline for research paper draft (#18)
* updated outline for paper from issue

* extra paper sections and some formalization of series data

* algorithms and acknowledgements
2025-11-07 14:39:59 +01:00
30 changed files with 1962 additions and 873 deletions

30
.github/workflows/pytest.yml vendored Normal file
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@@ -0,0 +1,30 @@
name: Run Tests
on:
push:
paths:
- 'experiments/**'
- 'backend/**'
- 'requirements.txt'
- '.github/workflows/pytest.yml'
pull_request:
paths:
- 'experiments/**'
- 'backend/**'
- 'requirements.txt'
- '.github/workflows/pytest.yml'
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.13'
cache: 'pip'
- name: Install dependencies
run: |
python -m venv .venv
.venv/bin/pip install --upgrade pip
.venv/bin/pip install -r requirements.txt
- name: Run tests
run: .venv/bin/pytest -v

8
.gitignore vendored
View File

@@ -1,6 +1,8 @@
**/.env **/.env
**/.venv **/.venv
PHANTOM.wiki/ **/__pycache__
**/.ipynb_checkpoints/
**/.virtual_documents/ **/.virtual_documents/
**/__pycache__/ **/session_*.svg
**/.ipynb_checkpoints/ **/*graph.svg
paper/src/bib/auto

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@@ -4,6 +4,10 @@ BUILDDIR := build
TEX := main.tex TEX := main.tex
JOBNAME := main JOBNAME := main
PDF := paper/$(BUILDDIR)/$(JOBNAME).pdf PDF := paper/$(BUILDDIR)/$(JOBNAME).pdf
VENV := .venv
PYTHON := $(VENV)/bin/python
PIP := $(VENV)/bin/pip
PYTEST := $(VENV)/bin/pytest
.DEFAULT_GOAL := help .DEFAULT_GOAL := help
@@ -35,5 +39,14 @@ clean:
$(LATEXMK) -C -jobname=$(JOBNAME) -outdir=../$(BUILDDIR) || true $(LATEXMK) -C -jobname=$(JOBNAME) -outdir=../$(BUILDDIR) || true
rm -rf paper/$(BUILDDIR)/* rm -rf paper/$(BUILDDIR)/*
$(VENV):
python3 -m venv $(VENV)
$(PIP) install --upgrade pip
.PHONY: all pdf clean watch run.webapp install: $(VENV)
$(PIP) install -r requirements.txt
test: $(VENV)
$(PYTEST) -v
.PHONY: all pdf clean watch run.webapp install test

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@@ -7,7 +7,9 @@ import uvicorn
import os import os
import json import json
from datetime import datetime from datetime import datetime
from kafka import KafkaProducer from kafka import KafkaProducer, KafkaAdminClient, KafkaConsumer
from kafka.admin import NewTopic
from kafka.errors import TopicAlreadyExistsError
from dotenv import load_dotenv from dotenv import load_dotenv
load_dotenv() load_dotenv()
@@ -22,15 +24,24 @@ def get_producer() -> KafkaProducer:
host = os.getenv('KAFKA_HOST', 'localhost') host = os.getenv('KAFKA_HOST', 'localhost')
port = os.getenv('KAFKA_PORT', '9092') port = os.getenv('KAFKA_PORT', '9092')
broker = f'{host}:{port}' if port else host broker = f'{host}:{port}' if port else host
print(f"[KAFKA_INIT] Connecting to broker: {broker}")
_producer = KafkaProducer( _producer = KafkaProducer(
bootstrap_servers=[broker], bootstrap_servers=[broker],
value_serializer=lambda v: json.dumps(v).encode('utf-8'), value_serializer=lambda v: json.dumps(v).encode('utf-8'),
key_serializer=lambda k: k.encode('utf-8') if k else None, key_serializer=lambda k: k.encode('utf-8') if k else None,
acks=1,
retries=3,
max_in_flight_requests_per_connection=5,
request_timeout_ms=30000,
api_version_auto_timeout_ms=10000,
max_block_ms=5000, # don't block send() for more than 5s
) )
print(f"[KAFKA_INIT] Producer created successfully")
return _producer return _producer
class EventPayload(BaseModel): class EventPayload(BaseModel):
sessionId: str sessionId: str
experimentId: Optional[str] = None
eventName: str eventName: str
page: str page: str
productId: Optional[str] = None productId: Optional[str] = None
@@ -47,6 +58,33 @@ app.add_middleware(
allow_headers=["*"], allow_headers=["*"],
) )
@app.on_event("startup")
async def startup_event():
"""create kafka topics on startup"""
host = os.getenv('KAFKA_HOST', 'localhost')
port = os.getenv('KAFKA_PORT', '9092')
broker = f'{host}:{port}'
try:
print(f"[STARTUP] Creating Kafka topics on {broker}")
admin = KafkaAdminClient(
bootstrap_servers=[broker],
request_timeout_ms=10000,
)
topics = [
NewTopic(name='user-interactions', num_partitions=3, replication_factor=1)
]
admin.create_topics(new_topics=topics, validate_only=False)
print(f"[STARTUP] Topics created successfully")
admin.close()
except TopicAlreadyExistsError:
print(f"[STARTUP] Topics already exist, skipping creation")
except Exception as e:
print(f"[STARTUP] Failed to create topics: {e}")
print(f"[STARTUP] Will rely on auto-creation on first message")
@app.get("/health") @app.get("/health")
async def health(): async def health():
kafka_status = "unknown" kafka_status = "unknown"
@@ -72,12 +110,13 @@ async def ingest_logs(event: EventPayload):
event.ts = datetime.utcnow().isoformat() + 'Z' event.ts = datetime.utcnow().isoformat() + 'Z'
producer = get_producer() producer = get_producer()
producer.send( future = producer.send(
'user-interactions', 'user-interactions',
key=event.sessionId, key=event.sessionId,
value=event.model_dump() value=event.model_dump()
) )
producer.flush(timeout=5) # add callback for error logging but don't block
future.add_errback(lambda e: print(f"[KAFKA_SEND_ERROR] {e}"))
return {"success": True} return {"success": True}
except Exception as e: except Exception as e:
@@ -87,10 +126,62 @@ async def ingest_logs(event: EventPayload):
raise HTTPException(status_code=500, detail=str(e)) raise HTTPException(status_code=500, detail=str(e))
@app.get("/api/kafka/dump") @app.get("/api/kafka/dump")
def dump_logs(): def dump_logs(
# TODO: implement a dump of logs of time period t_start to t_end (params of get) last_n: Optional[int] = None,
# OR: allow for params of last_n logs as a param - creating two modes of the dumping t_start: Optional[str] = None,
pass t_end: Optional[str] = None
):
"""dump all messages from user-interactions topic
params:
last_n: return only last n messages (default: all)
t_start: filter by start timestamp iso format (future use)
t_end: filter by end timestamp iso format (future use)
"""
host = os.getenv('KAFKA_HOST', 'localhost')
port = os.getenv('KAFKA_PORT', '9092')
broker = f'{host}:{port}'
try:
consumer = KafkaConsumer(
'user-interactions',
bootstrap_servers=[broker],
auto_offset_reset='earliest',
enable_auto_commit=False,
value_deserializer=lambda x: json.loads(x.decode('utf-8')),
consumer_timeout_ms=5000
)
events = []
for msg in consumer:
events.append(msg.value)
consumer.close()
# apply filters
if t_start or t_end:
# filter by timestamp range if provided
filtered = []
for e in events:
ts = e.get('ts')
if ts:
if t_start and ts < t_start:
continue
if t_end and ts > t_end:
continue
filtered.append(e)
events = filtered
if last_n and last_n > 0:
events = events[-last_n:]
return {"success": True, "count": len(events), "data": events}
except Exception as e:
import traceback
print(f"[DUMP_ERROR] {e}")
print(traceback.format_exc())
raise HTTPException(status_code=500, detail=str(e))

0
experiments/__init__.py Normal file
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@@ -0,0 +1 @@
"""Agentic behavior runner for PHANTOM research platform."""

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@@ -0,0 +1,44 @@
from .base import Agent as BaseAgent
from browser_use import Browser, Agent, ChatOpenAI
from enum import Enum
class AgentTypes(str, Enum):
GENERIC_BROWSER_USE_AGENT = "generic_browser_use_agent"
def _build_prompt(goal : str, environment_url : str) -> str:
#TODO: Improve prompt engineering here and experiment with
return f"""You are an autonomous agent tasked with achieving the following goal: {goal}
You have access to a web browser to interact with the environment at {environment_url}.
Use the browser to navigate, gather information, and perform actions necessary to accomplish your goal.
Be thorough and ensure you complete the task fully."""
class GenericBrowserUseAgent(BaseAgent):
def __init__(self,
goal: str,
url: str = "http://localhost:3000",
timeout: int = 300,
llm_model: str = "gpt-5-mini",
headless: bool = True):
super().__init__(goal, url, timeout)
self.llm_model = ChatOpenAI(model=llm_model)
self.browser = Browser(headless=headless)
self.agent = Agent(task=_build_prompt(goal, url),
llm=self.llm_model,
browser=self.browser)
async def act(self) -> str:
self.result = await self.agent.run()
# https://github.com/browser-use/browser-use/blob/main/browser_use/agent/views.py#L301
return self.result.final_result()
def get_agent(agent_type: AgentTypes, **kwargs) -> Agent:
if agent_type == AgentTypes.GENERIC_BROWSER_USE_AGENT:
return GenericBrowserUseAgent(**kwargs)
else:
raise ValueError(f"Unknown agent type: {agent_type}")
if __name__ == "__main__":
import asyncio
JTBD= "Name all the products on this site and try to find out more about each product by clicking into them (they might not open)"
agent = get_agent(AgentTypes.GENERIC_BROWSER_USE_AGENT, goal=JTBD, url="http://localhost:3000/products", timeout=300)
R=asyncio.run(agent.act())
print(R)

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@@ -0,0 +1,19 @@
from abc import ABC, abstractmethod
from typing import Optional
class Agent(ABC):
"""Base interface for browser automation agents"""
def __init__(self, goal: str, url: str = "http://localhost:3000", timeout: int = 300):
self.goal = goal
self.url = url
self.timeout = timeout
self.result: Optional[str] = None
@abstractmethod
async def act(self) -> str:
"""Execute goal and return result text"""
pass
def final_result(self) -> Optional[str]:
return self.result

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@@ -0,0 +1,30 @@
import pytest
import asyncio
from experiments.agents.agent import get_agent, AgentTypes
import os
def test_agent_init():
agent = get_agent(AgentTypes.GENERIC_BROWSER_USE_AGENT, goal="test", url="http://example.com", timeout=100)
assert agent.goal == "test"
assert agent.url == "http://example.com"
assert agent.timeout == 100
def test_invalid_agent():
with pytest.raises(ValueError):
get_agent("invalid", goal="test")
@pytest.mark.asyncio
@pytest.mark.skipif("OPENAI_API_KEY" not in os.environ, reason="OPENAI_API_KEY not set")
async def test_agent_execution():
agent = get_agent(AgentTypes.GENERIC_BROWSER_USE_AGENT, goal="get page title", url="https://example.com", timeout=60)
result = await agent.act()
assert result
assert agent.final_result()
assert agent.final_result().history[-1].result[-1].is_done == True
assert isinstance(result, str)
assert "example" in result.lower()
assert len(result) > 0

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@@ -0,0 +1,120 @@
import pandas as pd
import json
import numpy as np
import os
import requests
from dotenv import load_dotenv
from sklearn.base import BaseEstimator, TransformerMixin
from supabase import create_client, Client
load_dotenv()
BACKEND_URL = os.getenv("BACKEND_URL", "http://localhost:5000")
SUPABASE_URL = os.getenv("NEXT_PUBLIC_SUPABASE_URL")
SUPABASE_KEY = os.getenv("NEXT_PUBLIC_SUPABASE_ANON_KEY")
N_PRICE_BUCKETS = 5
supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)
def get_data_from_kafka() -> pd.DataFrame:
"""fetch all events from backend dump endpoint"""
resp = requests.get(f"{BACKEND_URL}/api/kafka/dump")
resp.raise_for_status()
data = resp.json()
if not data.get('success') or not data.get('data'):
return pd.DataFrame()
df = pd.DataFrame(data['data'])
# explode metadata col json
if 'metadata' in df.columns:
df = df.join(pd.json_normalize(df.pop("metadata"), sep=".").add_prefix("metadata_"))
df = df.dropna(subset=['eventName'])
return df
def join_with_experiments(df: pd.DataFrame) -> pd.DataFrame:
if df.empty or 'experimentId' not in df.columns:
return df
unique_exp_ids = df['experimentId'].dropna().unique()
if len(unique_exp_ids) == 0:
return df
resp = supabase.table('experiments').select(
'id, subject_name, xp_human_only, xp_market_mode, xp_task_id, task:tasks(task_name, task_description, task_def_of_done)'
).in_('id', unique_exp_ids.tolist()).execute()
if not resp.data:
return df
exp_df = pd.DataFrame(resp.data)
# flatten task nested object if present
if 'task' in exp_df.columns and exp_df['task'].notnull().any():
task_normalized = pd.json_normalize(exp_df['task'].dropna())
task_normalized.index = exp_df[exp_df['task'].notnull()].index
exp_df = exp_df.drop(columns=['task']).join(task_normalized, rsuffix='_task')
# rename experiment columns for clarity
exp_df = exp_df.rename(columns={
'id': 'experimentId',
'subject_name': 'exp_subject',
'xp_human_only': 'exp_human_only',
'xp_market_mode': 'exp_market_mode',
'xp_task_id': 'exp_task_id'
})
df = df.merge(exp_df, on='experimentId', how='left')
return df
def augment_event_titles(df: pd.DataFrame) -> pd.DataFrame:
# from taking standard view_item_page in eventName to view_item_page_{metadata_schema}
# we want metadata schema to create product specific event names
# only create price buckets if we have enough unique prices
if df["metadata_price"].notnull().sum() > 0:
try:
price_buckets = pd.qcut(
df["metadata_price"],
q=N_PRICE_BUCKETS,
labels=[f"PB_{i+1}" for i in range(N_PRICE_BUCKETS)],
duplicates='drop' # handle duplicate bin edges
)
except ValueError:
# fallback: if still not enough unique values, use cut with fixed ranges or just use raw price
price_buckets = df["metadata_price"].apply(lambda x: f"P_{int(x)}" if pd.notnull(x) else "")
else:
price_buckets = pd.Series([""] * len(df), index=df.index)
# metadata_schema: _product_id@price_bucket_{i} only if we have product metadata otherswise keep original event name
# TODO: make this adaptive, if we have hover_over_title we append the title, if its view_page we say which page
df["metadata_schema"] = np.where(
df["productId"].notnull() & df["metadata_price"].notnull(),
"_" + df["productId"].astype(str) + "@" + price_buckets.astype(str),
""
)
df["eventName"] = df["eventName"] + df["metadata_schema"].astype(str)
return df
def extract() -> pd.DataFrame:
df = get_data_from_kafka()
df = join_with_experiments(df)
df = augment_event_titles(df)
return df
class DataExtractor(BaseEstimator, TransformerMixin):
def fit(self, X=None, y=None):
return self
def transform(self, X=None):
return extract()
if __name__ == "__main__":
df = extract()
print(df.head())
print(df.tail())
print(df.info())

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@@ -0,0 +1,158 @@
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
def build_transition_prob_matrix(df: pd.DataFrame):
df = df.dropna(subset=['eventName'])
events = df['eventName'].tolist()
labels = pd.Index(events).unique().tolist()
idx = {e:i for i,e in enumerate(labels)}
M = np.zeros((len(labels), len(labels)), dtype=float)
for a, b in zip(events, events[1:]):
M[idx[a], idx[b]] += 1
row_sums = M.sum(axis=1, keepdims=True)
with np.errstate(divide='ignore', invalid='ignore'):
P = np.divide(M, row_sums, where=row_sums>0) # row-normalized
return P, labels
# https://medium.com/data-science/time-series-data-markov-transition-matrices-7060771e362b
from graphviz import Digraph
import numpy as np
import pandas as pd
def _as_prob_df(matrix, labels=None):
"""Return a square DataFrame with index=columns=labels."""
if isinstance(matrix, pd.DataFrame):
# Ensure square and aligned
assert (matrix.index == matrix.columns).all(), "Index/columns must match."
return matrix
matrix = np.asarray(matrix, dtype=float)
assert matrix.shape[0] == matrix.shape[1], "Matrix must be square."
if labels is None:
raise ValueError("labels are required when matrix is not a DataFrame")
assert len(labels) == matrix.shape[0], "labels length must match matrix size."
return pd.DataFrame(matrix, index=list(labels), columns=list(labels))
def _df_to_edgelist(P: pd.DataFrame, threshold=0.0, round_digits=2):
"""Build weighted edges > threshold."""
edges = []
for src in P.index:
for dst in P.columns:
w = float(P.loc[src, dst])
if w > threshold:
edges.append((str(src), str(dst), f"{w:.{round_digits}f}"))
return edges
def render_graph(fname, matrix, ls_index=None, threshold=0.0, fmt="svg", view=False):
"""
fname: output file stem (no extension)
matrix: NumPy array or pandas DataFrame of transition PROBABILITIES
ls_index: ordered labels (required if matrix is not a DataFrame)
threshold: hide edges with weight <= threshold
fmt: 'svg'|'png'|'pdf' etc.
view: open after rendering
"""
P = _as_prob_df(matrix, labels=ls_index)
edges = _df_to_edgelist(P, threshold=threshold)
g = Digraph(format=fmt)
g.attr(rankdir="LR", size="30")
g.attr("node", shape="circle")
# ensure isolated nodes appear
for node in P.index:
g.node(str(node), width="1", height="1")
for src, dst, label in edges:
g.edge(src, dst, label=label)
g.render(fname, view=view, cleanup=True)
return g
class TransitionProbMatrixTransformer(BaseEstimator, TransformerMixin):
def __init__(self, threshold=0.0):
self.threshold = threshold
self.P_ = None
self.labels_ = None
def fit(self, X: pd.DataFrame, y=None):
P, labels = build_transition_prob_matrix(X)
self.P_ = P
self.labels_ = labels
return self
def transform(self, X: pd.DataFrame = None):
return self.P_, self.labels_
def render(self, fname: str, fmt="svg", view=False):
if self.P_ is None or self.labels_ is None:
raise ValueError("Transformer has not been fitted yet.")
return render_graph(
fname,
self.P_,
ls_index=self.labels_,
threshold=self.threshold,
fmt=fmt,
view=view
)
class SessionTransitionProbMatrixTransformer(BaseEstimator, TransformerMixin):
def __init__(self, threshold=0.0, session_col='sessionId'):
self.threshold = threshold
self.session_col = session_col
self.session_matrices_ = None
def fit(self, X: pd.DataFrame, y=None):
if self.session_col not in X.columns:
raise ValueError(f"Column '{self.session_col}' not found in DataFrame")
session_matrices = {}
for session_id, grp in X.groupby(self.session_col):
if len(grp) > 1: # need at least 2 events for transitions
P, labels = build_transition_prob_matrix(grp)
session_matrices[session_id] = {'matrix': P, 'labels': labels}
self.session_matrices_ = session_matrices
return self
def transform(self, X: pd.DataFrame = None):
if self.session_matrices_ is None:
raise ValueError("Transformer has not been fitted yet.")
return pd.Series(self.session_matrices_)
def render_session(self, session_id: str, fname: str, fmt="svg", view=False):
if self.session_matrices_ is None:
raise ValueError("Transformer has not been fitted yet.")
if session_id not in self.session_matrices_:
raise ValueError(f"Session '{session_id}' not found in fitted data.")
sess_data = self.session_matrices_[session_id]
return render_graph(
fname,
sess_data['matrix'],
ls_index=sess_data['labels'],
threshold=self.threshold,
fmt=fmt,
view=view
)
if __name__ == "__main__":
# Example usage
data = {
'eventName': [
'A', 'B', 'A', 'C', 'B', 'A', 'A', 'C', 'B', 'C',
'A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A'
]
}
df = pd.DataFrame(data)
transformer = TransitionProbMatrixTransformer(threshold=0.1)
transformer.fit(df)
P, labels = transformer.transform(None)
print("Transition Probability Matrix:")
print(pd.DataFrame(P, index=labels, columns=labels))
# Render the graph
transformer.render("transition_graph", fmt="svg", view=False)

View File

@@ -0,0 +1,15 @@
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from extract import DataExtractor
from mapping import SessionTransitionProbMatrixTransformer, render_graph
if __name__ == "__main__":
steps = [
('data_extraction', DataExtractor()),
#('transition_matrix', SessionTransitionProbMatrixTransformer(threshold=0.05)),
]
pipeline = Pipeline(steps)
result = pipeline.fit_transform(None)
print(result)
print(result.info())

View File

@@ -16,10 +16,11 @@ mkdir -p "$(dirname "$OUTPUT_FILE")"
add_file() { add_file() {
local filepath="$1" local filepath="$1"
local relpath="${filepath#$PROJECT_ROOT/}" local relpath="${filepath#$PROJECT_ROOT/}"
local escaped_path="${relpath//_/\\_}"
# Add section header and code listing (no language-specific highlighting) # Add section header and code listing (no language-specific highlighting)
echo "\\subsection{${relpath}}" >> "$OUTPUT_FILE" echo "\\subsection{${escaped_path}}" >> "$OUTPUT_FILE"
echo "\\begin{lstlisting}[caption={${relpath}}]" >> "$OUTPUT_FILE" echo "\\begin{lstlisting}[caption={${escaped_path}}]" >> "$OUTPUT_FILE"
cat "$filepath" >> "$OUTPUT_FILE" cat "$filepath" >> "$OUTPUT_FILE"
echo "" >> "$OUTPUT_FILE" echo "" >> "$OUTPUT_FILE"
echo "\\end{lstlisting}" >> "$OUTPUT_FILE" echo "\\end{lstlisting}" >> "$OUTPUT_FILE"

7
pytest.ini Normal file
View File

@@ -0,0 +1,7 @@
[pytest]
testpaths = experiments
python_files = test*.py
python_classes = Test*
python_functions = test_*
asyncio_mode = auto
asyncio_default_fixture_loop_scope = function

View File

@@ -5,3 +5,9 @@ jupyter
ipykernel ipykernel
matplotlib matplotlib
graphviz graphviz
browser-use
pytest
pytest-asyncio
uv
scikit-learn
supabase

140
web/package-lock.json generated
View File

@@ -8,6 +8,8 @@
"name": "web", "name": "web",
"version": "0.1.0", "version": "0.1.0",
"dependencies": { "dependencies": {
"@supabase/ssr": "^0.7.0",
"@supabase/supabase-js": "^2.81.1",
"next": "16.0.0", "next": "16.0.0",
"react": "19.2.0", "react": "19.2.0",
"react-dom": "19.2.0", "react-dom": "19.2.0",
@@ -657,6 +659,97 @@
"node": ">= 10" "node": ">= 10"
} }
}, },
"node_modules/@supabase/auth-js": {
"version": "2.81.1",
"resolved": "https://registry.npmjs.org/@supabase/auth-js/-/auth-js-2.81.1.tgz",
"integrity": "sha512-K20GgiSm9XeRLypxYHa5UCnybWc2K0ok0HLbqCej/wRxDpJxToXNOwKt0l7nO8xI1CyQ+GrNfU6bcRzvdbeopQ==",
"license": "MIT",
"dependencies": {
"tslib": "2.8.1"
},
"engines": {
"node": ">=20.0.0"
}
},
"node_modules/@supabase/functions-js": {
"version": "2.81.1",
"resolved": "https://registry.npmjs.org/@supabase/functions-js/-/functions-js-2.81.1.tgz",
"integrity": "sha512-sYgSO3mlgL0NvBFS3oRfCK4OgKGQwuOWJLzfPyWg0k8MSxSFSDeN/JtrDJD5GQrxskP6c58+vUzruBJQY78AqQ==",
"license": "MIT",
"dependencies": {
"tslib": "2.8.1"
},
"engines": {
"node": ">=20.0.0"
}
},
"node_modules/@supabase/postgrest-js": {
"version": "2.81.1",
"resolved": "https://registry.npmjs.org/@supabase/postgrest-js/-/postgrest-js-2.81.1.tgz",
"integrity": "sha512-DePpUTAPXJyBurQ4IH2e42DWoA+/Qmr5mbgY4B6ZcxVc/ZUKfTVK31BYIFBATMApWraFc8Q/Sg+yxtfJ3E0wSg==",
"license": "MIT",
"dependencies": {
"tslib": "2.8.1"
},
"engines": {
"node": ">=20.0.0"
}
},
"node_modules/@supabase/realtime-js": {
"version": "2.81.1",
"resolved": "https://registry.npmjs.org/@supabase/realtime-js/-/realtime-js-2.81.1.tgz",
"integrity": "sha512-ViQ+Kxm8BuUP/TcYmH9tViqYKGSD1LBjdqx2p5J+47RES6c+0QHedM0PPAjthMdAHWyb2LGATE9PD2++2rO/tw==",
"license": "MIT",
"dependencies": {
"@types/phoenix": "^1.6.6",
"@types/ws": "^8.18.1",
"tslib": "2.8.1",
"ws": "^8.18.2"
},
"engines": {
"node": ">=20.0.0"
}
},
"node_modules/@supabase/ssr": {
"version": "0.7.0",
"resolved": "https://registry.npmjs.org/@supabase/ssr/-/ssr-0.7.0.tgz",
"integrity": "sha512-G65t5EhLSJ5c8hTCcXifSL9Q/ZRXvqgXeNo+d3P56f4U1IxwTqjB64UfmfixvmMcjuxnq2yGqEWVJqUcO+AzAg==",
"license": "MIT",
"dependencies": {
"cookie": "^1.0.2"
},
"peerDependencies": {
"@supabase/supabase-js": "^2.43.4"
}
},
"node_modules/@supabase/storage-js": {
"version": "2.81.1",
"resolved": "https://registry.npmjs.org/@supabase/storage-js/-/storage-js-2.81.1.tgz",
"integrity": "sha512-UNmYtjnZnhouqnbEMC1D5YJot7y0rIaZx7FG2Fv8S3hhNjcGVvO+h9We/tggi273BFkiahQPS/uRsapo1cSapw==",
"license": "MIT",
"dependencies": {
"tslib": "2.8.1"
},
"engines": {
"node": ">=20.0.0"
}
},
"node_modules/@supabase/supabase-js": {
"version": "2.81.1",
"resolved": "https://registry.npmjs.org/@supabase/supabase-js/-/supabase-js-2.81.1.tgz",
"integrity": "sha512-KSdY7xb2L0DlLmlYzIOghdw/na4gsMcqJ8u4sD6tOQJr+x3hLujU9s4R8N3ob84/1bkvpvlU5PYKa1ae+OICnw==",
"license": "MIT",
"dependencies": {
"@supabase/auth-js": "2.81.1",
"@supabase/functions-js": "2.81.1",
"@supabase/postgrest-js": "2.81.1",
"@supabase/realtime-js": "2.81.1",
"@supabase/storage-js": "2.81.1"
},
"engines": {
"node": ">=20.0.0"
}
},
"node_modules/@swc/helpers": { "node_modules/@swc/helpers": {
"version": "0.5.15", "version": "0.5.15",
"resolved": "https://registry.npmjs.org/@swc/helpers/-/helpers-0.5.15.tgz", "resolved": "https://registry.npmjs.org/@swc/helpers/-/helpers-0.5.15.tgz",
@@ -941,12 +1034,17 @@
"version": "20.19.23", "version": "20.19.23",
"resolved": "https://registry.npmjs.org/@types/node/-/node-20.19.23.tgz", "resolved": "https://registry.npmjs.org/@types/node/-/node-20.19.23.tgz",
"integrity": "sha512-yIdlVVVHXpmqRhtyovZAcSy0MiPcYWGkoO4CGe/+jpP0hmNuihm4XhHbADpK++MsiLHP5MVlv+bcgdF99kSiFQ==", "integrity": "sha512-yIdlVVVHXpmqRhtyovZAcSy0MiPcYWGkoO4CGe/+jpP0hmNuihm4XhHbADpK++MsiLHP5MVlv+bcgdF99kSiFQ==",
"dev": true,
"license": "MIT", "license": "MIT",
"dependencies": { "dependencies": {
"undici-types": "~6.21.0" "undici-types": "~6.21.0"
} }
}, },
"node_modules/@types/phoenix": {
"version": "1.6.6",
"resolved": "https://registry.npmjs.org/@types/phoenix/-/phoenix-1.6.6.tgz",
"integrity": "sha512-PIzZZlEppgrpoT2QgbnDU+MMzuR6BbCjllj0bM70lWoejMeNJAxCchxnv7J3XFkI8MpygtRpzXrIlmWUBclP5A==",
"license": "MIT"
},
"node_modules/@types/react": { "node_modules/@types/react": {
"version": "19.2.2", "version": "19.2.2",
"resolved": "https://registry.npmjs.org/@types/react/-/react-19.2.2.tgz", "resolved": "https://registry.npmjs.org/@types/react/-/react-19.2.2.tgz",
@@ -967,6 +1065,15 @@
"@types/react": "^19.2.0" "@types/react": "^19.2.0"
} }
}, },
"node_modules/@types/ws": {
"version": "8.18.1",
"resolved": "https://registry.npmjs.org/@types/ws/-/ws-8.18.1.tgz",
"integrity": "sha512-ThVF6DCVhA8kUGy+aazFQ4kXQ7E1Ty7A3ypFOe0IcJV8O/M511G99AW24irKrW56Wt44yG9+ij8FaqoBGkuBXg==",
"license": "MIT",
"dependencies": {
"@types/node": "*"
}
},
"node_modules/caniuse-lite": { "node_modules/caniuse-lite": {
"version": "1.0.30001751", "version": "1.0.30001751",
"resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001751.tgz", "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001751.tgz",
@@ -993,6 +1100,15 @@
"integrity": "sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA==", "integrity": "sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA==",
"license": "MIT" "license": "MIT"
}, },
"node_modules/cookie": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/cookie/-/cookie-1.0.2.tgz",
"integrity": "sha512-9Kr/j4O16ISv8zBBhJoi4bXOYNTkFLOqSL3UDB0njXxCXNezjeyVrJyGOWtgfs/q2km1gwBcfH8q1yEGoMYunA==",
"license": "MIT",
"engines": {
"node": ">=18"
}
},
"node_modules/csstype": { "node_modules/csstype": {
"version": "3.1.3", "version": "3.1.3",
"resolved": "https://registry.npmjs.org/csstype/-/csstype-3.1.3.tgz", "resolved": "https://registry.npmjs.org/csstype/-/csstype-3.1.3.tgz",
@@ -1605,9 +1721,29 @@
"version": "6.21.0", "version": "6.21.0",
"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz", "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz",
"integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==", "integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==",
"dev": true,
"license": "MIT" "license": "MIT"
}, },
"node_modules/ws": {
"version": "8.18.3",
"resolved": "https://registry.npmjs.org/ws/-/ws-8.18.3.tgz",
"integrity": "sha512-PEIGCY5tSlUt50cqyMXfCzX+oOPqN0vuGqWzbcJ2xvnkzkq46oOpz7dQaTDBdfICb4N14+GARUDw2XV2N4tvzg==",
"license": "MIT",
"engines": {
"node": ">=10.0.0"
},
"peerDependencies": {
"bufferutil": "^4.0.1",
"utf-8-validate": ">=5.0.2"
},
"peerDependenciesMeta": {
"bufferutil": {
"optional": true
},
"utf-8-validate": {
"optional": true
}
}
},
"node_modules/zod": { "node_modules/zod": {
"version": "4.1.12", "version": "4.1.12",
"resolved": "https://registry.npmjs.org/zod/-/zod-4.1.12.tgz", "resolved": "https://registry.npmjs.org/zod/-/zod-4.1.12.tgz",

View File

@@ -8,6 +8,8 @@
"start": "next start" "start": "next start"
}, },
"dependencies": { "dependencies": {
"@supabase/ssr": "^0.7.0",
"@supabase/supabase-js": "^2.81.1",
"next": "16.0.0", "next": "16.0.0",
"react": "19.2.0", "react": "19.2.0",
"react-dom": "19.2.0", "react-dom": "19.2.0",

View File

@@ -1,20 +1,26 @@
'use client'; 'use client';
import { useEffect, useState } from 'react'; import { useEffect, useState } from 'react';
import { useSession } from '@/hooks/useSession'; import { TaskManager } from '@/components/admin/TaskManager';
import { ExperimentForm } from '@/components/admin/ExperimentForm';
type Experiment = { type Experiment = {
id: string; id: string;
status: 'active' | 'stopped'; subject_name: string;
sessionIds: string[]; xp_human_only: boolean;
createdAt: number; xp_market_mode: string;
created_at: string;
task?: {
id: string;
task_name: string;
};
}; };
export default function ExperimentsAdmin() { export default function ExperimentsAdmin() {
const { sessionId, isLoading: sessionLoading } = useSession();
const [exps, setExps] = useState<Experiment[]>([]); const [exps, setExps] = useState<Experiment[]>([]);
const [loading, setLoading] = useState(false); const [selectedTaskId, setSelectedTaskId] = useState<string | undefined>();
const [error, setError] = useState<string | null>(null); const [error, setError] = useState<string | null>(null);
const [showForm, setShowForm] = useState(false);
const fetchExps = async () => { const fetchExps = async () => {
try { try {
@@ -31,86 +37,22 @@ export default function ExperimentsAdmin() {
fetchExps(); fetchExps();
}, []); }, []);
const handleStart = async () => { const handleExperimentCreated = async () => {
if (!sessionId) { setShowForm(false);
setError('no session available'); setSelectedTaskId(undefined);
return; await fetchExps();
}
setLoading(true);
setError(null);
try {
const res = await fetch('/api/admin/experiments/start', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ sessionId }),
});
if (!res.ok) {
const data = await res.json();
throw new Error(data.error || 'start failed');
}
await fetchExps(); // refresh list
} catch (err: any) {
setError(err.message);
} finally {
setLoading(false);
}
}; };
const handleStop = async (expId: string) => {
setLoading(true);
setError(null);
try {
const res = await fetch('/api/admin/experiments/stop', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ experimentId: expId }),
});
if (!res.ok) {
const data = await res.json();
throw new Error(data.error || 'stop failed');
}
await fetchExps(); // refresh list
} catch (err: any) {
setError(err.message);
} finally {
setLoading(false);
}
};
if (sessionLoading) {
return (
<div className="flex min-h-screen items-center justify-center bg-zinc-50 dark:bg-black">
<p className="text-zinc-600 dark:text-zinc-400">loading session...</p>
</div>
);
}
return ( return (
<div className="min-h-screen bg-zinc-50 px-6 py-12 dark:bg-black"> <div className="min-h-screen bg-zinc-50 px-6 py-12 dark:bg-black">
<div className="mx-auto max-w-5xl"> <div className="mx-auto max-w-7xl">
<div className="mb-8 flex items-center justify-between"> <div className="mb-8">
<div> <h1 className="text-3xl font-semibold tracking-tight text-black dark:text-zinc-50">
<h1 className="text-3xl font-semibold tracking-tight text-black dark:text-zinc-50"> Experiment Management
Experiments </h1>
</h1> <p className="mt-2 text-sm text-zinc-600 dark:text-zinc-400">
<p className="mt-2 text-sm text-zinc-600 dark:text-zinc-400"> configure tasks and run experiments
current session: {sessionId || 'none'} </p>
</p>
</div>
<button
onClick={handleStart}
disabled={loading || !sessionId}
className="rounded-lg bg-black px-4 py-2 text-sm font-medium text-white transition-colors hover:bg-zinc-800 disabled:opacity-50 dark:bg-zinc-50 dark:text-black dark:hover:bg-zinc-200"
>
{loading ? 'starting...' : 'start experiment'}
</button>
</div> </div>
{error && ( {error && (
@@ -119,79 +61,123 @@ export default function ExperimentsAdmin() {
</div> </div>
)} )}
<div className="overflow-hidden rounded-lg border border-zinc-200 bg-white dark:border-zinc-800 dark:bg-zinc-950"> <div className="grid grid-cols-1 gap-6 lg:grid-cols-3">
<table className="w-full text-left text-sm"> {/* left column: task manager */}
<thead className="border-b border-zinc-200 bg-zinc-50 dark:border-zinc-800 dark:bg-zinc-900"> <div className="lg:col-span-1">
<tr> <TaskManager
<th className="px-6 py-3 font-medium text-zinc-900 dark:text-zinc-100"> onTaskSelect={setSelectedTaskId}
experiment id selectedTaskId={selectedTaskId}
</th> />
<th className="px-6 py-3 font-medium text-zinc-900 dark:text-zinc-100"> </div>
status
</th> {/* right column: experiment form + list */}
<th className="px-6 py-3 font-medium text-zinc-900 dark:text-zinc-100"> <div className="space-y-6 lg:col-span-2">
session count <div className="flex items-center justify-between">
</th> <h2 className="text-lg font-semibold text-zinc-900 dark:text-zinc-100">
<th className="px-6 py-3 font-medium text-zinc-900 dark:text-zinc-100"> Experiments
created </h2>
</th> <button
<th className="px-6 py-3 font-medium text-zinc-900 dark:text-zinc-100"> onClick={() => setShowForm(!showForm)}
action className="rounded-lg bg-black px-4 py-2 text-sm font-medium text-white transition-colors hover:bg-zinc-800 dark:bg-zinc-50 dark:text-black dark:hover:bg-zinc-200"
</th> >
</tr> {showForm ? 'hide form' : 'new experiment'}
</thead> </button>
<tbody className="divide-y divide-zinc-200 dark:divide-zinc-800"> </div>
{exps.length === 0 ? (
<tr> {showForm && (
<td <ExperimentForm
colSpan={5} selectedTaskId={selectedTaskId}
className="px-6 py-8 text-center text-zinc-500 dark:text-zinc-400" onSuccess={handleExperimentCreated}
> />
no experiments yet )}
</td>
</tr> <div className="overflow-hidden rounded-lg border border-zinc-200 bg-white dark:border-zinc-800 dark:bg-zinc-950">
) : ( <table className="w-full text-left text-sm">
exps.map((exp) => ( <thead className="border-b border-zinc-200 bg-zinc-50 dark:border-zinc-800 dark:bg-zinc-900">
<tr <tr>
key={exp.id} <th className="px-4 py-3 font-medium text-zinc-900 dark:text-zinc-100">
className="hover:bg-zinc-50 dark:hover:bg-zinc-900" subject
> </th>
<td className="px-6 py-4 font-mono text-xs text-zinc-700 dark:text-zinc-300"> <th className="px-4 py-3 font-medium text-zinc-900 dark:text-zinc-100">
{exp.id.slice(0, 8)}... mode
</td> </th>
<td className="px-6 py-4"> <th className="px-4 py-3 font-medium text-zinc-900 dark:text-zinc-100">
<span human
className={`inline-block rounded-full px-2 py-1 text-xs font-medium ${ </th>
exp.status === 'active' <th className="px-4 py-3 font-medium text-zinc-900 dark:text-zinc-100">
? 'bg-green-100 text-green-800 dark:bg-green-950 dark:text-green-200' task
: 'bg-zinc-100 text-zinc-800 dark:bg-zinc-800 dark:text-zinc-200' </th>
}`} <th className="px-4 py-3 font-medium text-zinc-900 dark:text-zinc-100">
> created
{exp.status} </th>
</span> <th className="px-4 py-3 font-medium text-zinc-900 dark:text-zinc-100">
</td> link
<td className="px-6 py-4 text-zinc-700 dark:text-zinc-300"> </th>
{exp.sessionIds.length}
</td>
<td className="px-6 py-4 text-zinc-700 dark:text-zinc-300">
{new Date(exp.createdAt).toLocaleString()}
</td>
<td className="px-6 py-4">
{exp.status === 'active' && (
<button
onClick={() => handleStop(exp.id)}
disabled={loading}
className="text-sm font-medium text-red-600 hover:text-red-700 disabled:opacity-50 dark:text-red-400 dark:hover:text-red-300"
>
stop
</button>
)}
</td>
</tr> </tr>
)) </thead>
)} <tbody className="divide-y divide-zinc-200 dark:divide-zinc-800">
</tbody> {exps.length === 0 ? (
</table> <tr>
<td
colSpan={6}
className="px-4 py-8 text-center text-zinc-500 dark:text-zinc-400"
>
no experiments yet
</td>
</tr>
) : (
exps.map((exp) => {
const baseUrl = exp.xp_market_mode === 'airline'
? 'https://phantom-airline.vercel.app'
: 'https://phantom-hotel.vercel.app';
const link = `${baseUrl}/start-task?uuid=${exp.id}`;
return (
<tr
key={exp.id}
className="hover:bg-zinc-50 dark:hover:bg-zinc-900"
>
<td className="px-4 py-3 font-medium text-zinc-900 dark:text-zinc-100">
{exp.subject_name}
</td>
<td className="px-4 py-3">
<span className="inline-block rounded-full bg-zinc-100 px-2 py-1 text-xs font-medium text-zinc-800 dark:bg-zinc-800 dark:text-zinc-200">
{exp.xp_market_mode || 'none'}
</span>
</td>
<td className="px-4 py-3">
{exp.xp_human_only ? (
<span className="text-xs text-green-600 dark:text-green-400">
yes
</span>
) : (
<span className="text-xs text-zinc-500">no</span>
)}
</td>
<td className="px-4 py-3 text-xs text-zinc-600 dark:text-zinc-400">
{exp.task ? exp.task.task_name : '—'}
</td>
<td className="px-4 py-3 text-xs text-zinc-600 dark:text-zinc-400">
{new Date(exp.created_at).toLocaleDateString()}
</td>
<td className="px-4 py-3">
<button
onClick={() => {
navigator.clipboard.writeText(link);
}}
className="text-xs font-medium text-zinc-900 hover:text-zinc-600 dark:text-zinc-100 dark:hover:text-zinc-400"
>
copy link
</button>
</td>
</tr>
);
})
)}
</tbody>
</table>
</div>
</div>
</div> </div>
</div> </div>
</div> </div>

View File

@@ -1,10 +1,40 @@
import { NextResponse } from 'next/server'; import { NextRequest, NextResponse } from 'next/server';
import { getAllExperiments } from '@/lib/sessionStore'; import { createClient } from '@/utils/supabase/server';
import { cookies } from 'next/headers';
export async function GET() { export async function GET(req: NextRequest) {
try { try {
const exps = getAllExperiments(); const cookieStore = await cookies();
return NextResponse.json({ experiments: exps }); const supabase = createClient(cookieStore);
const { searchParams } = new URL(req.url);
const id = searchParams.get('id');
if (id) {
const { data, error } = await supabase
.from('experiments')
.select(`
*,
task:tasks(*)
`)
.eq('id', id)
.single();
if (error) throw error;
return NextResponse.json({ experiment: data });
}
const { data, error } = await supabase
.from('experiments')
.select(`
*,
task:tasks(*)
`)
.order('created_at', { ascending: false });
if (error) throw error;
return NextResponse.json({ experiments: data || [] });
} catch (err: any) { } catch (err: any) {
console.error('experiments list error:', err); console.error('experiments list error:', err);
return NextResponse.json( return NextResponse.json(
@@ -13,3 +43,44 @@ export async function GET() {
); );
} }
} }
export async function POST(req: NextRequest) {
try {
const cookieStore = await cookies();
const supabase = createClient(cookieStore);
const body = await req.json();
const { subject_name, xp_human_only, xp_market_mode, xp_task_id } = body;
if (!subject_name) {
return NextResponse.json(
{ error: 'subject_name is required' },
{ status: 400 }
);
}
const { data, error } = await supabase
.from('experiments')
.insert([{
subject_name,
xp_human_only: xp_human_only ?? false,
xp_market_mode: xp_market_mode || null,
xp_task_id: xp_task_id || null,
}])
.select(`
*,
task:tasks(*)
`)
.single();
if (error) throw error;
return NextResponse.json({ experiment: data });
} catch (err: any) {
console.error('experiment creation error:', err);
return NextResponse.json(
{ error: err.message || 'unknown error' },
{ status: 500 }
);
}
}

View File

@@ -0,0 +1,58 @@
import { NextRequest, NextResponse } from 'next/server';
import { createClient } from '@/utils/supabase/server';
import { cookies } from 'next/headers';
export async function GET() {
try {
const cookieStore = await cookies();
const supabase = createClient(cookieStore);
const { data, error } = await supabase
.from('tasks')
.select('*')
.order('created_at', { ascending: false });
if (error) throw error;
return NextResponse.json({ tasks: data || [] });
} catch (err: any) {
console.error('tasks fetch error:', err);
return NextResponse.json(
{ error: err.message || 'unknown error' },
{ status: 500 }
);
}
}
export async function POST(req: NextRequest) {
try {
const cookieStore = await cookies();
const supabase = createClient(cookieStore);
const body = await req.json();
const { task_name, task_description, task_def_of_done } = body;
if (!task_name) {
return NextResponse.json(
{ error: 'task_name is required' },
{ status: 400 }
);
}
const { data, error } = await supabase
.from('tasks')
.insert([{ task_name, task_description, task_def_of_done }])
.select()
.single();
if (error) throw error;
return NextResponse.json({ task: data });
} catch (err: any) {
console.error('task creation error:', err);
return NextResponse.json(
{ error: err.message || 'unknown error' },
{ status: 500 }
);
}
}

View File

@@ -1,13 +1,12 @@
import { NextRequest, NextResponse } from 'next/server'; import { NextRequest, NextResponse } from 'next/server';
import { randomUUID } from 'crypto'; import { randomUUID } from 'crypto';
import { getSession, createSession } from '@/lib/sessionStore'; import { getSession, createSession, setExperiment } from '@/lib/sessionStore';
const COOKIE_NAME = 'phantom_session_id'; const COOKIE_NAME = 'phantom_session_id';
const isProd = process.env.NODE_ENV === 'production'; const isProd = process.env.NODE_ENV === 'production';
export async function GET(req: NextRequest) { export async function GET(req: NextRequest) {
try { try {
// check for existing session cookie
const existingSession = req.cookies.get(COOKIE_NAME)?.value; const existingSession = req.cookies.get(COOKIE_NAME)?.value;
if (existingSession) { if (existingSession) {
@@ -18,13 +17,11 @@ export async function GET(req: NextRequest) {
}); });
} }
// mint new session id
const sessionId = randomUUID(); const sessionId = randomUUID();
createSession(sessionId); createSession(sessionId);
const res = NextResponse.json({ sessionId, experimentId: undefined }); const res = NextResponse.json({ sessionId, experimentId: undefined });
// set httpOnly cookie with security flags
res.cookies.set({ res.cookies.set({
name: COOKIE_NAME, name: COOKIE_NAME,
value: sessionId, value: sessionId,
@@ -32,7 +29,7 @@ export async function GET(req: NextRequest) {
sameSite: 'lax', sameSite: 'lax',
secure: isProd, secure: isProd,
path: '/', path: '/',
maxAge: 60 * 60 * 24 * 30, // 30 days maxAge: 60 * 60 * 24 * 30,
}); });
return res; return res;
@@ -44,3 +41,52 @@ export async function GET(req: NextRequest) {
); );
} }
} }
export async function POST(req: NextRequest) {
try {
const body = await req.json();
const { experimentId } = body;
if (!experimentId) {
return NextResponse.json(
{ error: 'experimentId is required' },
{ status: 400 }
);
}
let sessionId = req.cookies.get(COOKIE_NAME)?.value;
if (!sessionId) {
sessionId = randomUUID();
createSession(sessionId);
}
setExperiment(sessionId, experimentId);
const res = NextResponse.json({
sessionId,
experimentId,
success: true
});
if (!req.cookies.get(COOKIE_NAME)) {
res.cookies.set({
name: COOKIE_NAME,
value: sessionId,
httpOnly: true,
sameSite: 'lax',
secure: isProd,
path: '/',
maxAge: 60 * 60 * 24 * 30,
});
}
return res;
} catch (err: any) {
console.error('session update error:', err);
return NextResponse.json(
{ error: err.message || 'unknown error' },
{ status: 500 }
);
}
}

View File

@@ -0,0 +1,93 @@
'use client';
import { useEffect, useState, Suspense } from 'react';
import { useSearchParams, useRouter } from 'next/navigation';
const StartTaskContent = () => {
const searchParams = useSearchParams();
const router = useRouter();
const [status, setStatus] = useState<'loading' | 'error' | 'redirecting'>('loading');
const [error, setError] = useState<string | null>(null);
useEffect(() => {
const uuid = searchParams.get('uuid');
if (!uuid) {
setError('no experiment UUID provided');
setStatus('error');
return;
}
const validateAndStore = async () => {
try {
const res = await fetch(`/api/admin/experiments?id=${uuid}`);
if (!res.ok) throw new Error('experiment not found');
const data = await res.json();
const exp = data.experiment;
if (!exp) throw new Error('invalid experiment UUID');
localStorage.setItem('phantom_experiment_id', uuid);
await fetch('/api/session', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ experimentId: uuid }),
});
setStatus('redirecting');
setTimeout(() => {
router.push("/");
}, 800);
} catch (err: any) {
setError(err.message || 'failed to start task');
setStatus('error');
}
};
validateAndStore();
}, [searchParams, router]);
return (
<div className="flex min-h-screen items-center justify-center bg-zinc-50 dark:bg-black">
<div className="text-center">
{status === 'loading' && (
<div>
<div className="mb-4 h-8 w-8 animate-spin rounded-full border-4 border-zinc-200 border-t-zinc-900 dark:border-zinc-800 dark:border-t-zinc-100 mx-auto" />
<p className="text-zinc-600 dark:text-zinc-400">validating browser...</p>
</div>
)}
{status === 'redirecting' && (
<div>
<div className="mb-4 text-4xl"></div>
<p className="text-zinc-900 dark:text-zinc-100 font-medium">website loaded</p>
<p className="mt-2 text-sm text-zinc-600 dark:text-zinc-400">redirecting to page...</p>
</div>
)}
{status === 'error' && (
<div className="rounded-lg bg-red-50 p-6 dark:bg-red-950">
<p className="text-red-900 dark:text-red-100 font-medium">error</p>
<p className="mt-2 text-sm text-red-700 dark:text-red-300">{error}</p>
</div>
)}
</div>
</div>
);
};
export default function StartTaskPage() {
return (
<Suspense fallback={
<div className="flex min-h-screen items-center justify-center bg-zinc-50 dark:bg-black">
<p className="text-zinc-600 dark:text-zinc-400">loading...</p>
</div>
}>
<StartTaskContent />
</Suspense>
);
}

View File

@@ -0,0 +1,118 @@
'use client';
import { useState } from 'react';
type ExperimentFormProps = {
selectedTaskId?: string;
onSuccess?: () => void;
};
export const ExperimentForm = ({ selectedTaskId, onSuccess }: ExperimentFormProps) => {
const [loading, setLoading] = useState(false);
const [error, setError] = useState<string | null>(null);
const [form, setForm] = useState({
subject_name: '',
xp_human_only: false,
xp_market_mode: 'hotel' as 'hotel' | 'airline',
});
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault();
setLoading(true);
setError(null);
try {
const res = await fetch('/api/admin/experiments', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
...form,
xp_task_id: selectedTaskId || null,
}),
});
if (!res.ok) {
const data = await res.json();
throw new Error(data.error || 'creation failed');
}
setForm({ subject_name: '', xp_human_only: false, xp_market_mode: 'hotel' });
onSuccess?.();
} catch (err: any) {
setError(err.message);
} finally {
setLoading(false);
}
};
return (
<form onSubmit={handleSubmit} className="space-y-4 rounded-lg border border-zinc-200 bg-white p-6 dark:border-zinc-800 dark:bg-zinc-950">
<h2 className="text-lg font-semibold text-zinc-900 dark:text-zinc-100">
Create Experiment
</h2>
{error && (
<div className="rounded-lg bg-red-50 p-3 text-sm text-red-800 dark:bg-red-950 dark:text-red-200">
{error}
</div>
)}
<div>
<label className="block text-sm font-medium text-zinc-700 dark:text-zinc-300">
subject name
</label>
<input
type="text"
value={form.subject_name}
onChange={(e) => setForm({ ...form, subject_name: e.target.value })}
className="mt-1 w-full rounded-lg border border-zinc-300 bg-white px-3 py-2 text-sm text-zinc-900 focus:border-zinc-900 focus:outline-none dark:border-zinc-700 dark:bg-zinc-900 dark:text-zinc-100 dark:focus:border-zinc-100"
placeholder="e.g., baseline_dynamic_pricing_v1"
required
/>
</div>
<div>
<label className="block text-sm font-medium text-zinc-700 dark:text-zinc-300">
market mode
</label>
<select
value={form.xp_market_mode}
onChange={(e) => setForm({ ...form, xp_market_mode: e.target.value as 'hotel' | 'airline' })}
className="mt-1 w-full rounded-lg border border-zinc-300 bg-white px-3 py-2 text-sm text-zinc-900 focus:border-zinc-900 focus:outline-none dark:border-zinc-700 dark:bg-zinc-900 dark:text-zinc-100 dark:focus:border-zinc-100"
>
<option value="hotel">hotel</option>
<option value="airline">airline</option>
</select>
</div>
<div className="flex items-center gap-2">
<input
type="checkbox"
id="human-only"
checked={form.xp_human_only}
onChange={(e) => setForm({ ...form, xp_human_only: e.target.checked })}
className="h-4 w-4 rounded border-zinc-300 text-zinc-900 focus:ring-zinc-900 dark:border-zinc-700 dark:bg-zinc-900"
/>
<label htmlFor="human-only" className="text-sm text-zinc-700 dark:text-zinc-300">
human participants only
</label>
</div>
{selectedTaskId && (
<div className="rounded-lg bg-zinc-50 p-3 dark:bg-zinc-900">
<p className="text-sm text-zinc-600 dark:text-zinc-400">
task selected: <span className="font-mono text-xs">{selectedTaskId.slice(0, 8)}...</span>
</p>
</div>
)}
<button
type="submit"
disabled={loading}
className="w-full rounded-lg bg-black px-4 py-2 text-sm font-medium text-white transition-colors hover:bg-zinc-800 disabled:opacity-50 dark:bg-zinc-50 dark:text-black dark:hover:bg-zinc-200"
>
{loading ? 'creating experiment...' : 'create experiment'}
</button>
</form>
);
};

View File

@@ -0,0 +1,178 @@
'use client';
import { useState, useEffect } from 'react';
type Task = {
id: string;
task_name: string;
task_description: string;
task_def_of_done: string;
created_at: string;
};
type TaskManagerProps = {
onTaskSelect?: (taskId: string) => void;
selectedTaskId?: string;
};
export const TaskManager = ({ onTaskSelect, selectedTaskId }: TaskManagerProps) => {
const [tasks, setTasks] = useState<Task[]>([]);
const [loading, setLoading] = useState(false);
const [showForm, setShowForm] = useState(false);
const [form, setForm] = useState({
task_name: '',
task_description: '',
task_def_of_done: '',
});
const [error, setError] = useState<string | null>(null);
const fetchTasks = async () => {
try {
const res = await fetch('/api/admin/tasks');
if (!res.ok) throw new Error(`fetch failed: ${res.status}`);
const data = await res.json();
setTasks(data.tasks || []);
} catch (err: any) {
setError(err.message);
}
};
useEffect(() => {
fetchTasks();
}, []);
const handleSubmit = async (e: React.FormEvent) => {
e.preventDefault();
setLoading(true);
setError(null);
try {
const res = await fetch('/api/admin/tasks', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(form),
});
if (!res.ok) {
const data = await res.json();
throw new Error(data.error || 'creation failed');
}
setForm({ task_name: '', task_description: '', task_def_of_done: '' });
setShowForm(false);
await fetchTasks();
} catch (err: any) {
setError(err.message);
} finally {
setLoading(false);
}
};
return (
<div className="space-y-4">
<div className="flex items-center justify-between">
<h2 className="text-lg font-semibold text-zinc-900 dark:text-zinc-100">
Tasks
</h2>
<button
onClick={() => setShowForm(!showForm)}
className="rounded-lg bg-zinc-900 px-3 py-1.5 text-sm font-medium text-white transition-colors hover:bg-zinc-700 dark:bg-zinc-100 dark:text-black dark:hover:bg-zinc-300"
>
{showForm ? 'cancel' : 'new task'}
</button>
</div>
{error && (
<div className="rounded-lg bg-red-50 p-3 text-sm text-red-800 dark:bg-red-950 dark:text-red-200">
{error}
</div>
)}
{showForm && (
<form onSubmit={handleSubmit} className="space-y-3 rounded-lg border border-zinc-200 bg-white p-4 dark:border-zinc-800 dark:bg-zinc-950">
<div>
<label className="block text-sm font-medium text-zinc-700 dark:text-zinc-300">
task name
</label>
<input
type="text"
value={form.task_name}
onChange={(e) => setForm({ ...form, task_name: e.target.value })}
className="mt-1 w-full rounded-lg border border-zinc-300 bg-white px-3 py-2 text-sm text-zinc-900 focus:border-zinc-900 focus:outline-none dark:border-zinc-700 dark:bg-zinc-900 dark:text-zinc-100 dark:focus:border-zinc-100"
placeholder="e.g., Book cheapest flight to Paris"
required
/>
</div>
<div>
<label className="block text-sm font-medium text-zinc-700 dark:text-zinc-300">
description
</label>
<textarea
value={form.task_description}
onChange={(e) => setForm({ ...form, task_description: e.target.value })}
className="mt-1 w-full rounded-lg border border-zinc-300 bg-white px-3 py-2 text-sm text-zinc-900 focus:border-zinc-900 focus:outline-none dark:border-zinc-700 dark:bg-zinc-900 dark:text-zinc-100 dark:focus:border-zinc-100"
placeholder="User should find and book the cheapest available flight..."
rows={3}
/>
</div>
<div>
<label className="block text-sm font-medium text-zinc-700 dark:text-zinc-300">
definition of done
</label>
<textarea
value={form.task_def_of_done}
onChange={(e) => setForm({ ...form, task_def_of_done: e.target.value })}
className="mt-1 w-full rounded-lg border border-zinc-300 bg-white px-3 py-2 text-sm text-zinc-900 focus:border-zinc-900 focus:outline-none dark:border-zinc-700 dark:bg-zinc-900 dark:text-zinc-100 dark:focus:border-zinc-100"
placeholder="Booking is completed and confirmation page is shown"
rows={2}
/>
</div>
<button
type="submit"
disabled={loading}
className="w-full rounded-lg bg-black px-4 py-2 text-sm font-medium text-white transition-colors hover:bg-zinc-800 disabled:opacity-50 dark:bg-zinc-50 dark:text-black dark:hover:bg-zinc-200"
>
{loading ? 'creating...' : 'create task'}
</button>
</form>
)}
<div className="space-y-2">
{tasks.length === 0 ? (
<p className="py-8 text-center text-sm text-zinc-500 dark:text-zinc-400">
no tasks yet
</p>
) : (
tasks.map((task) => (
<div
key={task.id}
onClick={() => onTaskSelect?.(task.id)}
className={`cursor-pointer rounded-lg border p-3 transition-colors ${
selectedTaskId === task.id
? 'border-zinc-900 bg-zinc-50 dark:border-zinc-100 dark:bg-zinc-900'
: 'border-zinc-200 bg-white hover:border-zinc-300 dark:border-zinc-800 dark:bg-zinc-950 dark:hover:border-zinc-700'
}`}
>
<h3 className="font-medium text-zinc-900 dark:text-zinc-100">
{task.task_name}
</h3>
{task.task_description && (
<p className="mt-1 text-sm text-zinc-600 dark:text-zinc-400">
{task.task_description}
</p>
)}
{task.task_def_of_done && (
<p className="mt-1 text-xs text-zinc-500 dark:text-zinc-500">
done: {task.task_def_of_done}
</p>
)}
</div>
))
)}
</div>
</div>
);
};

View File

@@ -1,5 +1,5 @@
import { useEffect, useRef, useState } from 'react'; import { useEffect, useRef, useState } from 'react';
import '@/lib/experiments' // ensure experiments lib is loaded import '@/lib/experiments'
import type { EventName } from '@/lib/events'; import type { EventName } from '@/lib/events';
const fetchSessionId = async (): Promise<string> => { const fetchSessionId = async (): Promise<string> => {
@@ -21,10 +21,14 @@ const track = async (ev: {
metadata?: Record<string, unknown>; metadata?: Record<string, unknown>;
}) => { }) => {
try { try {
const experimentId = localStorage.getItem('phantom_experiment_id');
await fetch('/api/ingest', { await fetch('/api/ingest', {
method: 'POST', method: 'POST',
headers: { 'Content-Type': 'application/json' }, headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(ev), body: JSON.stringify({
...ev,
experimentId: experimentId || undefined,
}),
}); });
} catch (err) { } catch (err) {
console.error('track failed:', err); console.error('track failed:', err);

View File

@@ -10,6 +10,7 @@ export function proxy(req: NextRequest) {
pathname.startsWith('/admin') || pathname.startsWith('/admin') ||
pathname.startsWith('/_next') || pathname.startsWith('/_next') ||
pathname.startsWith('/static') || pathname.startsWith('/static') ||
pathname.startsWith('/start-task') ||
pathname.includes('.') pathname.includes('.')
// TODO: add robots.txt and sitemap.xml if needed here // TODO: add robots.txt and sitemap.xml if needed here
) { ) {

View File

@@ -0,0 +1,10 @@
import { createBrowserClient } from "@supabase/ssr";
const supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL;
const supabaseKey = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY;
export const createClient = () =>
createBrowserClient(
supabaseUrl!,
supabaseKey!,
);

View File

@@ -0,0 +1,37 @@
import { createServerClient, type CookieOptions } from "@supabase/ssr";
import { type NextRequest, NextResponse } from "next/server";
const supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL;
const supabaseKey = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY;
export const createClient = (request: NextRequest) => {
// Create an unmodified response
let supabaseResponse = NextResponse.next({
request: {
headers: request.headers,
},
});
const supabase = createServerClient(
supabaseUrl!,
supabaseKey!,
{
cookies: {
getAll() {
return request.cookies.getAll()
},
setAll(cookiesToSet) {
cookiesToSet.forEach(({ name, value, options }) => request.cookies.set(name, value))
supabaseResponse = NextResponse.next({
request,
})
cookiesToSet.forEach(({ name, value, options }) =>
supabaseResponse.cookies.set(name, value, options)
)
},
},
},
);
return supabaseResponse
};

View File

@@ -0,0 +1,27 @@
import { createServerClient, type CookieOptions } from "@supabase/ssr";
import { cookies } from "next/headers";
import { ReadonlyRequestCookies } from "next/dist/server/web/spec-extension/adapters/request-cookies";
const supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL;
const supabaseKey = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY;
export const createClient = (cookieStore: ReadonlyRequestCookies) => {
return createServerClient(
supabaseUrl!,
supabaseKey!,
{
cookies: {
getAll() {
return cookieStore.getAll()
},
setAll(cookiesToSet) {
try {
cookiesToSet.forEach(({ name, value, options }) => cookieStore.set(name, value, options))
} catch {
// `setAll` called from Server Component - ignored if middleware handles session refresh
}
},
},
},
);
};