omkarenator
commited on
Commit
•
87a6313
1
Parent(s):
5171d34
unify data viewer, DV, DV2, DVS
Browse files- curated.py +4 -0
- data_viewer.py +157 -0
- main.py +5 -2
- web.py +2 -156
curated.py
CHANGED
@@ -5,6 +5,7 @@ from fh_plotly import plotly2fasthtml
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import pandas as pd
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import json
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from data_viewer import view_data, gen_random_id
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from rich import print
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import uuid
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import plotly.express as px
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@@ -485,6 +486,9 @@ wiki_examples = Div(
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),
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)
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def get_freelaw_data(data_source: str = "Freelaw", doc_id: int = 3, target: str = "foo"):
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doc_id = max(0, min(int(doc_id), 9))
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import pandas as pd
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import json
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from data_viewer import view_data, gen_random_id
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+
from data_viewer import DV, DV2, DVS
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from rich import print
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import uuid
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import plotly.express as px
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),
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)
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+
wiki_examples = DV("data/curated_samples/wiki.json", 0, "Wikipedia")
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+
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+
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def get_freelaw_data(data_source: str = "Freelaw", doc_id: int = 3, target: str = "foo"):
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doc_id = max(0, min(int(doc_id), 9))
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data_viewer.py
CHANGED
@@ -3,6 +3,7 @@ from fasthtml.components import *
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import json
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import string
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import random
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def gen_random_id() -> str:
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@@ -79,3 +80,159 @@ def view_data(
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style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
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)
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return Div(form, data_display, style="margin-top: 10px;", id=target)
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import json
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import string
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import random
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import jsonlines
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def gen_random_id() -> str:
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style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
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)
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return Div(form, data_display, style="margin-top: 10px;", id=target)
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+
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+
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+
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def DVS(
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left,
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header,
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):
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col1 = Div(
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Pre(
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json.dumps(left, indent=4, ensure_ascii=False),
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style="white-space: pre-wrap; word-break: break-all;",
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),
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style="float: left; overflow-x: auto;",
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)
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+
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data_display = Div(
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col1,
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style="overflow: auto; clear: both; height: 200px; border: 1px solid #ccc; padding: 20px;",
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)
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return Div(H3(header), data_display, style="margin-top: 10px;")
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+
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+
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def DV(
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left_file,
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doc_id,
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header,
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target: str = None,
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):
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if target is None:
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target = "".join(random.choices(string.ascii_lowercase, k=8))
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if left_file.endswith("jsonl"):
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left = [x for x in jsonlines.open(left_file)]
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else:
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left = json.load(open(left_file, encoding="utf-8"))
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max_doc_id = len(left) - 1
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slider = Input(
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type="range",
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name=f"doc_id_{target}",
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min="0",
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max=str(max_doc_id),
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value=str(doc_id),
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hx_get=f"/update/{target}",
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hx_target=f"#{target}",
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hx_trigger="change",
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hx_swap="innerHTML",
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hx_vals=json.dumps({"left_file": f"{left_file}", "header": f"{header}"}),
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)
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form = Div(
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H3(header),
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Label(
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"Data sample: ", slider, f"{doc_id} of {max_doc_id}", cls="plotly_slider"
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),
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cls="plotly_input_container",
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style="padding: 20px;",
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)
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col1 = Div(
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Pre(
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json.dumps(left[doc_id], indent=4, ensure_ascii=False),
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style="white-space: pre-wrap; word-break: break-all;",
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),
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style="float: left; overflow-x: auto;",
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)
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data_display = Div(
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col1,
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style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
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)
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return Div(form, data_display, style="margin-top: 10px;", id=target)
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+
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def DV2(
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left_file,
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right_file,
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doc_id,
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target: str = None,
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):
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if target is None:
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target = "".join(random.choices(string.ascii_lowercase, k=8))
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left = json.load(open(left_file, encoding="utf-8"))
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right = json.load(open(right_file, encoding="utf-8"))
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max_doc_id = len(left) - 1
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slider = Input(
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type="range",
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name=f"doc_id_{target}",
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min="0",
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max=str(max_doc_id),
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value=str(doc_id),
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hx_get=f"/update/{target}",
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hx_target=f"#{target}",
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hx_trigger="change",
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hx_swap="innerHTML",
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hx_vals=json.dumps(
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{"left_file": f"{left_file}", "right_file": f"{right_file}"}
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),
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)
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form = Div(
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Label(
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"Data sample: ", slider, f"{doc_id} of {max_doc_id}", cls="plotly_slider"
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),
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cls="plotly_input_container",
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style="padding: 20px;",
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)
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col1 = Div(
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H3("Raw format", style="margin-top: 0px;"),
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Pre(
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json.dumps(left[doc_id], indent=4, ensure_ascii=False),
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style="white-space: pre-wrap; word-break: break-all;",
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),
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style="width: 48%; float: left; overflow-x: auto;",
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)
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col2 = Div(
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H3("Extracted format", style="margin-top: 0px;"),
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Pre(
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json.dumps(right[doc_id], indent=4, ensure_ascii=False),
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style="white-space: pre-wrap; word-break: break-all;",
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),
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style="width: 48%; float: right; overflow-x: auto;",
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)
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data_display = Div(
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col1,
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col2,
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style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
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)
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return Div(form, data_display, style="margin-top: 10px;", id=target)
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def update(target: str, request):
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params = request.query_params
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doc_id = int(params.get(f"doc_id_{target}", 3))
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left_file = params.get("left_file")
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right_file = params.get("right_file")
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if left_file and right_file:
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return (
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DV2(
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left_file,
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right_file,
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doc_id,
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target,
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),
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)
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else:
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return DV(
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left_file,
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doc_id,
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params.get("header"),
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target,
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)
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main.py
CHANGED
@@ -21,6 +21,7 @@ import web
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import common
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import results
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from pybtex.database import parse_file
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app, rt = fast_app(
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@@ -541,11 +542,13 @@ def intro():
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#rt("/overview")(overview.overview)
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rt("/curated")(curated.curated)
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rt("/curated/{target}")(curated.update)
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rt("/webdata")(web.web_data)
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rt("/webdata/{target}")(web.update)
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rt("/common")(common.common_steps)
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import common
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import results
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from pybtex.database import parse_file
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import data_viewer
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app, rt = fast_app(
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#rt("/overview")(overview.overview)
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rt("/update/{target}")(data_viewer.update)
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rt("/curated")(curated.curated)
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rt("/webdata")(web.web_data)
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rt("/common")(common.common_steps)
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web.py
CHANGED
@@ -7,9 +7,11 @@ from rich import print
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import jsonlines
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from data.url_blocklist import urls_high_matches, urls_false_positives
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from data.non_web_urls import non_web_urls
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from fasthtml.components import D_code
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import pandas as pd
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data_filtering_table_data = pd.DataFrame(
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{
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"Dataset": [
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@@ -176,162 +178,6 @@ table_html_qf_filter_data = qf_filtering_table_data.to_html(index=False, border=
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table_div_qf_filter_data = Div(NotStr(table_html_qf_filter_data), style="margin: 40px;")
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-
def DVS(
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left,
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header,
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):
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col1 = Div(
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-
Pre(
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json.dumps(left, indent=4, ensure_ascii=False),
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style="white-space: pre-wrap; word-break: break-all;",
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),
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style="float: left; overflow-x: auto;",
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)
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-
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data_display = Div(
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col1,
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style="overflow: auto; clear: both; height: 200px; border: 1px solid #ccc; padding: 20px;",
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)
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return Div(H3(header), data_display, style="margin-top: 10px;")
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-
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-
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-
def DV(
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left_file,
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doc_id,
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header,
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target: str = None,
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):
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if target is None:
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target = "".join(random.choices(string.ascii_lowercase, k=8))
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-
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-
if left_file.endswith("jsonl"):
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left = [x for x in jsonlines.open(left_file)]
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-
else:
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-
left = json.load(open(left_file, encoding="utf-8"))
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-
max_doc_id = len(left) - 1
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slider = Input(
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type="range",
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name=f"doc_id_{target}",
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-
min="0",
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max=str(max_doc_id),
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value=str(doc_id),
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hx_get=f"/webdata/{target}",
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-
hx_target=f"#{target}",
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hx_trigger="change",
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hx_swap="innerHTML",
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hx_vals=json.dumps({"left_file": f"{left_file}", "header": f"{header}"}),
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-
)
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-
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form = Div(
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H3(header),
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-
Label(
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"Data sample: ", slider, f"{doc_id} of {max_doc_id}", cls="plotly_slider"
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-
),
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-
cls="plotly_input_container",
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-
style="padding: 20px;",
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-
)
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-
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col1 = Div(
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-
Pre(
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json.dumps(left[doc_id], indent=4, ensure_ascii=False),
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style="white-space: pre-wrap; word-break: break-all;",
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),
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style="float: left; overflow-x: auto;",
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)
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-
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-
data_display = Div(
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col1,
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style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
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)
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return Div(form, data_display, style="margin-top: 10px;", id=target)
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247 |
-
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-
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249 |
-
def DV2(
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left_file,
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right_file,
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doc_id,
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-
target: str = None,
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-
):
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-
if target is None:
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-
target = "".join(random.choices(string.ascii_lowercase, k=8))
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-
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-
left = json.load(open(left_file, encoding="utf-8"))
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-
right = json.load(open(right_file, encoding="utf-8"))
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-
max_doc_id = len(left) - 1
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-
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-
slider = Input(
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-
type="range",
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-
name=f"doc_id_{target}",
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-
min="0",
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-
max=str(max_doc_id),
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267 |
-
value=str(doc_id),
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-
hx_get=f"/webdata/{target}",
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269 |
-
hx_target=f"#{target}",
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-
hx_trigger="change",
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-
hx_swap="innerHTML",
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-
hx_vals=json.dumps(
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273 |
-
{"left_file": f"{left_file}", "right_file": f"{right_file}"}
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-
),
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-
)
|
276 |
-
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form = Div(
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-
Label(
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"Data sample: ", slider, f"{doc_id} of {max_doc_id}", cls="plotly_slider"
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280 |
-
),
|
281 |
-
cls="plotly_input_container",
|
282 |
-
style="padding: 20px;",
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283 |
-
)
|
284 |
-
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-
col1 = Div(
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286 |
-
H3("Raw format", style="margin-top: 0px;"),
|
287 |
-
Pre(
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288 |
-
json.dumps(left[doc_id], indent=4, ensure_ascii=False),
|
289 |
-
style="white-space: pre-wrap; word-break: break-all;",
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290 |
-
),
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291 |
-
style="width: 48%; float: left; overflow-x: auto;",
|
292 |
-
)
|
293 |
-
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-
col2 = Div(
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295 |
-
H3("Extracted format", style="margin-top: 0px;"),
|
296 |
-
Pre(
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297 |
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json.dumps(right[doc_id], indent=4, ensure_ascii=False),
|
298 |
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style="white-space: pre-wrap; word-break: break-all;",
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299 |
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),
|
300 |
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style="width: 48%; float: right; overflow-x: auto;",
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301 |
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)
|
302 |
-
|
303 |
-
data_display = Div(
|
304 |
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col1,
|
305 |
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col2,
|
306 |
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style="overflow: auto; clear: both; height: 600px; border: 1px solid #ccc; padding: 20px;",
|
307 |
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)
|
308 |
-
return Div(form, data_display, style="margin-top: 10px;", id=target)
|
309 |
-
|
310 |
-
|
311 |
-
def update(target: str, request):
|
312 |
-
params = request.query_params
|
313 |
-
print(params)
|
314 |
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doc_id = int(params.get(f"doc_id_{target}", 3))
|
315 |
-
left_file = params.get("left_file")
|
316 |
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right_file = params.get("right_file")
|
317 |
-
if left_file and right_file:
|
318 |
-
return (
|
319 |
-
DV2(
|
320 |
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left_file,
|
321 |
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right_file,
|
322 |
-
doc_id,
|
323 |
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target,
|
324 |
-
),
|
325 |
-
)
|
326 |
-
else:
|
327 |
-
return DV(
|
328 |
-
left_file,
|
329 |
-
doc_id,
|
330 |
-
params.get("header"),
|
331 |
-
target,
|
332 |
-
)
|
333 |
-
|
334 |
-
|
335 |
dolma311 = """
|
336 |
words = text.split()
|
337 |
word_count = len(words)
|
|
|
7 |
import jsonlines
|
8 |
from data.url_blocklist import urls_high_matches, urls_false_positives
|
9 |
from data.non_web_urls import non_web_urls
|
10 |
+
from data_viewer import DV, DV2, DVS
|
11 |
from fasthtml.components import D_code
|
12 |
import pandas as pd
|
13 |
|
14 |
+
|
15 |
data_filtering_table_data = pd.DataFrame(
|
16 |
{
|
17 |
"Dataset": [
|
|
|
178 |
table_div_qf_filter_data = Div(NotStr(table_html_qf_filter_data), style="margin: 40px;")
|
179 |
|
180 |
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|
181 |
dolma311 = """
|
182 |
words = text.split()
|
183 |
word_count = len(words)
|