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30 Commits

Author SHA1 Message Date
Sam db9fc35715 update pyproject 2024-11-07 21:41:31 +00:00
Sam 7f4efbfe50 restructure backend api 2024-11-07 21:40:26 +00:00
Sam bec1b2c796 add defaultFirstSelected to table functions 2024-11-07 21:40:07 +00:00
Sam 5943fd5dd8 update shell.nix 2024-11-07 21:39:26 +00:00
Sam ef28791bd3 add .env to .gitignore 2024-11-07 21:39:04 +00:00
Sam 54a32019c6 change backend structure 2024-11-07 21:38:45 +00:00
Sam 99ee771417 css modifications for tables and charts 2024-11-07 21:37:53 +00:00
Sam 537cfdee1b modified pipeline 2024-09-26 10:02:29 +01:00
Sam eb3d17884a working filter system 2024-09-23 20:11:25 +01:00
Sam 5930fe90a1 refactor 2024-09-23 17:46:59 +01:00
Sam f279f5ade4 protected mangroves 2024-09-23 17:46:36 +01:00
Sam 7253c40da1 helper function 2024-09-23 17:46:20 +01:00
Sam ab37400522 add bitcoin business growth to new backend 2024-09-23 17:46:02 +01:00
Sam a0a3f38ebd dropdown filter 2024-09-23 17:45:31 +01:00
Sam e9cd27d5c4 add protected mangrove content 2024-09-22 14:29:03 +01:00
Sam ce58616cbf add sortable to head 2024-09-22 14:28:52 +01:00
Sam 886abd21c8 add chart shortcode that responds to selectable table 2024-09-22 14:28:25 +01:00
Sam 2d21aa98fc add more routes to backend 2024-09-22 14:27:43 +01:00
Sam 0e6e19d483 selectable tables that generate events 2024-09-22 14:27:13 +01:00
Sam 2d56c61856 New mongodb backend 2024-09-20 17:49:31 +01:00
Sam 8e7d963e26 Sorttable library 2024-09-10 09:15:14 +01:00
Sam 6a882b6377 Add map and table shortcodes 2024-09-10 09:15:00 +01:00
Sam 96f119efe5 Remove unnecessary partials 2024-09-10 09:14:36 +01:00
Sam 13055a41fb add apiUrl to head 2024-09-10 09:14:13 +01:00
Sam 4179b09e61 add front matter script code 2024-09-10 09:13:47 +01:00
Sam c1805b2926 Protected Mangroves content page 2024-09-10 09:13:06 +01:00
Sam 2233e8b865 Add mangrove_data route to backend 2024-09-10 09:12:52 +01:00
Sam 9e8e3f27a5 Style changes 2024-09-10 09:12:25 +01:00
Sam cb0fc7a843 Add mangrove-map.js script 2024-09-10 09:11:43 +01:00
Sam c31c1f5f06 add map 2024-09-04 18:49:40 +01:00
29 changed files with 1312 additions and 267 deletions

2
.gitignore vendored
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@ -5,3 +5,5 @@
/data
backend/api_logs.txt
*__pycache__*
.env
poetry.lock

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@ -1,3 +1,3 @@
# My personal website ([https://baseddata.io](https://baseddata.io))
# My personal website ([https://bitlab21.com](https://bitlab21.com))
This site is made using [Hugo](https://gohugo.io/), a static website generator. The backend (which powers the api for getting data for the charts) is build in python and served using gunicorn.

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backend/api/pipelines.py Normal file
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def parse_int(args):
try:
return int( args )
except ValueError:
print(f"{args} cannot be cast to int")
raise
def mangrove_by_country_latest():
return """
select * from models_final.final__protected_mangroves_summary_stats_by_country_agg
where year = '2020'
order by cumulative_pixels_diff desc
"""
def bitcoin_business_growth_timeseries(args):
days_ago = parse_int(args["days_ago"])
country_name = args["country_name"]
return f"""
select * from models_final.final__bitcoin_business_growth_by_country
where days_ago <= {days_ago} and country_name = '{country_name}'
order by date
"""
def bitcoin_business_growth_percent_diff_days_ago(args):
days_ago = parse_int(args["days_ago"])
return f"""
with
filtered_data as (
select country_name, date, days_ago, cumulative_value
from models_final.final__bitcoin_business_growth_by_country
where days_ago <= {days_ago}
order by country_name, days_ago desc
),
first_and_last_values as (
select
country_name,
date,
days_ago,
cumulative_value,
first_value(cumulative_value) over (
partition by country_name order by days_ago desc
) as first_value,
first_value(date) over (
partition by country_name order by days_ago desc
) as first_date,
first_value(cumulative_value) over (
partition by country_name order by days_ago
) as last_value,
first_value(date) over (
partition by country_name order by days_ago
) as last_date
from filtered_data
),
diff as (
select
country_name,
date,
first_date,
last_date,
days_ago,
cumulative_value,
first_value,
last_value,
last_value - first_value as difference,
round(
100 * safe_divide((last_value - first_value), first_value), 2
) as percent_difference
from first_and_last_values
)
select *
from diff
where days_ago = 1
order by difference desc
"""
# def bitcoin_business_growth_timeseries(query):
# pipeline = [
# {
# "$match": {
# "days_ago": {"$lte": int(query["days_ago"])},
# "country_name": query["country_name"],
# }
# },
# {
# "$project": {
# "country_name": "$country_name",
# "date": "$date",
# "cumulative_value": "$cumulative_value",
# }
# },
# {"$sort": {"country_name": 1, "days_ago": 1}},
# ]
# return pipeline
# def mangrove_by_country_latest():
# pipeline = [
# {
# "$match": {"year": "2020"},
# },
# ]
# return pipeline
#
#
# def mangrove_by_country_agg(query):
# pipeline = [
# {"$match": {"country_with_parent": query["country_with_parent"]}},
# {
# "$group": {
# "_id": {"country_with_parent": "$country_with_parent", "year": "$year"},
# "total_pixels": {"$sum": "$total_n_pixels"},
# }
# },
# {
# "$project": {
# "_id": 0,
# "country_with_parent": "$_id.country_with_parent",
# "year": "$_id.year",
# "total_pixels": 1,
# }
# },
# {"$sort": {"year": 1}},
# ]
# return pipeline
#
#
# def bitcoin_business_growth_timeseries(query):
# pipeline = [
# {
# "$match": {
# "days_ago": {"$lte": int(query["days_ago"])},
# "country_name": query["country_name"],
# }
# },
# {
# "$project": {
# "country_name": "$country_name",
# "date": "$date",
# "cumulative_value": "$cumulative_value",
# }
# },
# {"$sort": {"country_name": 1, "days_ago": 1}},
# ]
# return pipeline
#
#
# def bitcoin_business_growth_percent_diff_days_ago(query):
pipeline = [
{"$match": {"days_ago": {"$lte": int(query["days_ago"])}}},
{"$sort": {"country_name": 1, "days_ago": 1}},
{
"$group": {
"_id": "$country_name",
"firstvalue": {"$first": "$cumulative_value"},
"lastvalue": {"$last": "$cumulative_value"},
"firstdate": {"$min": "$date"},
"lastdate": {"$max": "$date"},
}
},
{
"$project": {
"country_name": "$_id",
"first_value": "$firstvalue",
"last_value": "$lastvalue",
"difference": {
"$subtract": [
{"$todouble": "$firstvalue"},
{"$todouble": "$lastvalue"},
]
},
"first_date": "$firstdate",
"last_date": "$lastdate",
"percent_difference": {
"$cond": {
"if": {"$eq": [{"$todouble": "$lastvalue"}, 0]},
"then": {
"$cond": {
"if": {"$gt": [{"$todouble": "$firstvalue"}, 0]},
"then": "new",
"else": "none",
}
},
"else": {
"$round": [
{
"$multiply": [
{
"$divide": [
{
"$subtract": [
{"$todouble": "$firstvalue"},
{"$todouble": "$lastvalue"},
]
},
{"$todouble": "$lastvalue"},
]
},
100,
]
}
]
},
}
},
}
},
]
return pipeline
#
#
# def bitcoin_business_growth_latest(query):
# pipeline = [
# {
# "$match": query["filter"],
# },
# {"$sort": {"date": 1}},
# ]
# return pipeline

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from psycopg2.extras import RealDictCursor
import psycopg2, os
class PostgresHandler:
def __init__(self):
self.connection = self.connect_to_pg()
self.cur = self.connection.cursor(cursor_factory=RealDictCursor)
def connect_to_pg(self):
try:
connection = psycopg2.connect(
dbname=os.getenv('PGDATABASE'),
host=os.getenv('PGHOST'),
user=os.getenv('PGUSER'),
password=os.getenv('PGPASSWORD'),
port=os.getenv('PGPORT'),
)
except Exception as e:
message=f"Connection to postgres database failed: {e}"
raise Exception(message)
print(f"Successfully connected to DB")
return connection
def execute_query(self, query):
try:
self.cur.execute(query)
results = self.cur.fetchall()
self.connection.commit()
self.connection.close()
return results
except Exception:
print("Error executing query")
raise

96
backend/api/route.py Normal file
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from fastapi import APIRouter
from api.postgres_handler import PostgresHandler
import api.pipelines as pipelines
import api.schemas as schemas
from api.schemas import DataSerializer
import json
router = APIRouter()
def parse_args_to_dict(query):
try:
return json.loads(query)
except json.JSONDecodeError as e:
return {"error": f"Invalid JSON: {e}"}
@router.get("/mangrove_by_country_latest")
async def mangrove_by_country_latest():
pipeline = pipelines.mangrove_by_country_latest()
handler = PostgresHandler()
schema = schemas.mangrove_by_country_latest_schema
serializer = DataSerializer(schema)
rawData = handler.execute_query(pipeline)
serializedData = serializer.serialize_many(rawData)
return serializedData
@router.get("/bitcoin_business_growth_timeseries")
async def bitcoin_business_growth_timeseries(query: str):
args = parse_args_to_dict(query)
pipeline = pipelines.bitcoin_business_growth_timeseries(args)
handler = PostgresHandler()
schema = schemas.bitcoin_business_growth_timeseries_schema
serializer = DataSerializer(schema)
rawData = handler.execute_query(pipeline)
serializedData = serializer.serialize_many(rawData)
return serializedData
@router.get("/bitcoin_business_growth_percent_diff")
async def bitcoin_business_growth_percent_diff(query: str):
args = parse_args_to_dict(query)
pipeline = pipelines.bitcoin_business_growth_percent_diff_days_ago(args)
handler = PostgresHandler()
schema = schemas.bitcoin_business_growth_percent_diff_schema
serializer = DataSerializer(schema)
rawData = handler.execute_query(pipeline)
serializedData = serializer.serialize_many(rawData)
return serializedData
# @router.get("/bitcoin_business_growth_percent_diff")
# async def bitcoin_business_growth_percent_diff(query: str):
# query = ast.literal_eval(query)
#
# query = queries.bitcoin_business_growth_percent_diff_days_ago(query)
# handler = PostgresHandler(connection)
#
# schema = schemas.bitcoin_business_growth_percent_diff_schema
# pipeline = pipelines.bitcoin_business_growth_percent_diff_days_ago(query)
# serializer = DataSerializer(schema)
# handler = MongoDBHandler(collection_name)
# rawData = handler.aggregate(pipeline)
# serializedData = serializer.serialize_many(rawData)
# return serializedData
# @router.get("/mangrove_by_country_agg")
# async def mangrove_by_country_agg(query: str):
# query = ast.literal_eval(query)
# db = client.baseddata
# collection_name = db["final__protected_mangroves_summary_stats_by_country_agg"]
# schema = schemas.mangrove_by_country_agg_schema
# pipeline = pipelines.mangrove_by_country_agg(query)
# serializer = DataSerializer(schema)
# handler = MongoDBHandler(collection_name)
# rawData = handler.aggregate(pipeline)
# serializedData = serializer.serialize_many(rawData)
# return serializedData
#
# @router.get("/bitcoin_business_growth_timeseries")
# async def bitcoin_business_growth_timeseries(query: str):
# query = ast.literal_eval(query)
# db = client.baseddata
# collection_name = db["final__bitcoin_business_growth_by_country"]
# schema = schemas.bitcoin_business_growth_timeseries_schema
# pipeline = pipelines.bitcoin_business_growth_timeseries(query)
# serializer = DataSerializer(schema)
# handler = MongoDBHandler(collection_name)
# rawData = handler.aggregate(pipeline)
# serializedData = serializer.serialize_many(rawData)
# return serializedData

42
backend/api/schemas.py Normal file
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def mangrove_by_country_latest_schema(data):
return {
"country_with_parent": str(data["country_with_parent"]),
"original_pixels": int(data["original_pixels"]),
"total_n_pixels": int(data["total_n_pixels"]),
"cumulative_pixels_diff": int(data["cumulative_pixels_diff"]),
"cumulative_pct_diff": float(data["cumulative_pct_diff"]),
}
def mangrove_by_country_agg_schema(data):
return {
"country_with_parent": str(data["country_with_parent"]),
"year": int(data["year"]),
"total_pixels": int(data["total_pixels"])
}
def bitcoin_business_growth_percent_diff_schema(data):
return {
"country_name": str(data["country_name"]),
"date_range": str(f'{data["first_date"]} to {data["last_date"]}'),
"first_value": int(data["first_value"]),
"last_value": int(data["last_value"]),
"difference": int(data["difference"]),
"percent_difference": str(data["percent_difference"])
}
def bitcoin_business_growth_timeseries_schema(data):
return {
"country_name": str(data["country_name"]),
"date": data["date"],
"cumulative_value": int(data["cumulative_value"])
}
class DataSerializer:
def __init__(self, schema_func):
self.schema_func = schema_func
def serialize_one(self, data) -> dict:
return self.schema_func(dict( data ))
def serialize_many(self, data_list) -> list:
return [self.serialize_one(data) for data in data_list]

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@ -1,172 +0,0 @@
from flask import Flask, g, jsonify, request, json, Response, send_from_directory, abort
from flask_cors import CORS
import orjson, os
import datetime
import time
app = Flask(__name__)
CORS(app)
FILES_DIRECTORY = "../data/"
@app.before_request
def start_timer():
g.start = time.time()
@app.after_request
def log(response):
now = time.time()
duration = round(now - g.start, 4)
dt = datetime.datetime.fromtimestamp(now).strftime("%Y-%m-%d %H:%M:%S")
log_entry = {
"timestamp": dt,
"duration": duration,
"method": request.method,
"url": request.url,
"status": response.status_code,
"remote_addr": request.access_route[-1],
"user_agent": request.user_agent.string,
}
log_line = ",".join(f"{key}={value}" for key, value in log_entry.items())
with open("api_logs.txt", "a") as f:
f.write(log_line + "\n")
return response
@app.route("/bitcoin_business_growth_by_country", methods=["GET"])
def business_growth():
today = datetime.datetime.today()
# Parse args from request
latest_date = request.args.get("latest_date")
country_names = request.args.get("countries") # change this line
cumulative_period_type = request.args.get("cumulative_period_type")
# Open json locally
with open("../data/final__bitcoin_business_growth_by_country.json", "rb") as f:
data = orjson.loads(f.read())
# Filter based on args
if latest_date:
latest_date_bool = latest_date == "true"
filtered_data = [
item for item in data if item["latest_date"] == latest_date_bool
]
else:
filtered_data = data
if country_names:
countries = [name.strip() for name in country_names.split(",")]
filtered_data = [
item for item in filtered_data if item["country_name"] in countries
]
if cumulative_period_type == "1 day":
delta = today - datetime.timedelta(days=2)
filtered_data = [
item
for item in filtered_data
if item["cumulative_period_type"] == cumulative_period_type
and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
]
elif cumulative_period_type == "7 day":
delta = today - datetime.timedelta(days=8)
filtered_data = [
item
for item in filtered_data
if item["cumulative_period_type"] == cumulative_period_type
and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
]
elif cumulative_period_type == "28 day":
delta = today - datetime.timedelta(days=29)
filtered_data = [
item
for item in filtered_data
if item["cumulative_period_type"] == cumulative_period_type
and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
]
elif cumulative_period_type == "365 day":
delta = today - datetime.timedelta(days=366)
filtered_data = [
item
for item in filtered_data
if item["cumulative_period_type"] == cumulative_period_type
and delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d")
]
# Sort by date
sorted_data = sorted(filtered_data, key=lambda x: x["date"], reverse=False)
# Return json
return Response(json.dumps(sorted_data), mimetype="application/json")
@app.route("/get_json/<filename>", methods=["GET"])
def get_json(filename):
period = request.args.get("period")
today = datetime.datetime.today()
file_path = os.path.join(FILES_DIRECTORY, filename)
if not os.path.isfile(file_path):
abort(404)
with open(file_path, "r") as f:
data = orjson.loads(f.read())
if period == "last 7 days":
delta = today - datetime.timedelta(days=7)
filtered_data = [
item
for item in data
if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
]
sorted_data = sorted(filtered_data, key=lambda x: x["date"])
elif period == "last 28 days":
delta = today - datetime.timedelta(days=28)
filtered_data = [
item
for item in data
if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
]
sorted_data = sorted(filtered_data, key=lambda x: x["date"])
elif period == "last 365 days":
delta = today - datetime.timedelta(days=365)
filtered_data = [
item
for item in data
if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
]
sorted_data = sorted(filtered_data, key=lambda x: x["date"])
elif period == "last 2 years":
delta = today - datetime.timedelta(days=730)
filtered_data = [
item
for item in data
if delta <= datetime.datetime.strptime(item["date"], "%Y-%m-%d") <= today
]
sorted_data = sorted(filtered_data, key=lambda x: x["date"])
else:
sorted_data = sorted(data, key=lambda x: x["date"])
return jsonify(sorted_data)
@app.route("/download/<filename>", methods=["GET"])
def download_file(filename):
try:
return send_from_directory(FILES_DIRECTORY, filename, as_attachment=True)
except FileNotFoundError:
abort(404)
if __name__ == "__main__":
app.run()

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backend/main.py Normal file
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from fastapi import FastAPI
from api.route import router
app = FastAPI()
app.include_router(router)

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@ -1,42 +0,0 @@
## Sam Chance | Analytics Engineer | Cornwall, UK
***contact@sjplab.com***
4 years experience working in the tech industry as a Data Analyst and Analytics Engineer. Experienced at providing high quality consulting services to company stakeholders. Demonstrable proficiency in various programming languages. Strong educational background in a STEM field with Master's and Bachelor's degree. Excellent communication skills with competence at articulating complex ideas to non-technical people. Broad set of technical skills and talented at crafting creative solutions for novel problems.
## Skills
- **Database Management**: BigQuery | Postgres | MongoDB (learning)
- **Analytics**: Data Engineering | Data Analysis (R, Pandas, Numpy, SPSS) | Data Modelling (DBT, Python, SQL) | Data Visualization | Dashboarding (Looker Studio, Apache ECharts)
- **Programming Languages**: proficient: SQL, Python, Bash | capable: R, Lua | learning: JavaScript, Nix
- **Code Collaboration & Version Control**: Git, Github, Self Hosted Gitea
- **Workflow Orchestration**: Apache Airflow | Prefect (learning)
- **CLI wizard**: Scripting (Bash, Python) | GNU Coreutils | Neovim
- **Geographic Information Systems**: QGIS | PostGIS | GDAL
- **Sysadmin**: Linux | Networking | SSH | Reverse Proxy (Nginx) | API Management | Containerization (Docker, LXC) | Nixos
- **Computers**: Cloud Computing (GCP) | Infrastructure Engineering (Homelab, Hypervisors, KVM) | x86 Architecture
- **AI Tooling**: Self Hosted LLMs | Ollama | Langchain | Open Interpreter
- **Web Development**: Hugo | JavaScript/HTML/CSS | Apache ECharts
- **Personal**: Full UK Driving License | Flexible Working | Autonomous Worker
## Experience
### Growth Analyst / Analytics Engineer | What3Words | May 2020 to Apr 2024
- Designed and implemented successful bespoke alerting system from scratch to detect anomalous behaviour in partner API usage (using python)
- General consultant to company stakeholders for resolving technical data related problems
- Built company KPI dashboard in Looker Studio along with underlying data pipelines and data models
- Built QA tool for Product Team to assess and monitor data quality
- Assisted with several large data migration projects in the Data Team
- Researched and implemented data mining techniques for Product and BD Teams
- Started as a Growth Analyst, then promoted to Analytics Engineer
## Education
### MSc Marine Biology | Bangor University | 1 year
- Delivering technical presentations
- Programmatic statistical analysis of data
- **Thesis**: "Quantifying the Effectiveness of Indonesia's Protected Areas at Preventing Mangrove Deforestation"
* A GIS project that involved statistical modelling of satellite data using ArcGIS and R
### BSc Marine Biology & Zoology | Bangor University | 3 years
- **Thesis**: "Biodiversity of Seamounts"
## Personal Websites
- https://baseddata.io: A site where I publish analytical content based on open data. Still a work in progress.
- https://semitamaps.com: A free high-quality map printing service based on OpenStreetMaps.

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@ -15,8 +15,10 @@ You can select the growth period of interest from the drop-down, which updates t
The chart always reflects the countries selected in the table.
<br/>
{{< chart src="/js/bitcoin-business-growth-chart.js" >}}
{{< table src="/js/bitcoin-business-growth-table.js" >}}
{{< dropdown_filter id="days_ago_dropdown_filter" id_filter="days_ago" options="1 day:1,7 day:7,28 day:28,1 year:365,5 year:1826,10 year:3652,all time:10000" default_selection="7 day" targets="bitcoin-business-growth-chart bitcoin-business-growth-table" >}}
{{< table id="bitcoin-business-growth-table" endpoint="bitcoin_business_growth_percent_diff" headers="{'country_name': 'Country', 'date_range': 'Date Range', 'first_value': 'Previous #', 'last_value': 'Current #', 'difference': 'Diff', 'percent_difference': '% Diff'}" maxHeight="400px" sortable="true" valueId="country_name" selectableRows="multi" targets="bitcoin-business-growth-chart" defaultFirstSelected="true" >}}
{{< chart id="bitcoin-business-growth-chart" endpoint="bitcoin_business_growth_timeseries" chartType="line" xAxisField="date" yAxisField="cumulative_value" scaleChart=true >}}
#### Attribution and License
Data obtained from © [OpenStreetMap](https://www.openstreetmap.org/copyright)

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@ -0,0 +1,16 @@
---
title: "Global Protected Mangroves"
date: 2024-09-04T16:00:57+01:00
author:
name: "Sam Chance"
header_image: "/pics/charts/price.webp"
summary: "Daily bitcoin price. Data is obtained from CoinGecko using their public API."
tags: ["Bitcoin", "Stats"]
script: "/js/mangrove-map.js"
---
{{< table id="mangrove_countries" endpoint="mangrove_by_country_latest" headers="{'country_with_parent': 'Country', 'original_pixels': '1996 Cover', 'total_n_pixels': '2020 Cover', 'cumulative_pixels_diff': 'Diff', 'cumulative_pct_diff': '% Diff'}" maxHeight="400px" sortable="true" valueId="country_with_parent" selectableRows="single" defaultFirstSelected="true" >}}
{{< chart id="mangrove_countries" endpoint="mangrove_by_country_agg" chartType="bar" xAxisField="year" yAxisField="total_pixels" scaleChart=true >}}
{{< map id="map" style="https://tiles.semitamaps.com/styles/maptiler-basic/style.json">}}
{{< chart id="mangrove-country-timeseries-chart" endpoint="mangrove_country_timeseries" chartType="line" xAxisField="date" yAxisField="n_pixels" scaleChart=true >}}

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@ -3,7 +3,7 @@ languageCode = 'en-gb'
title = 'Based Data'
[params]
apiURL = 'https://api.baseddata.io'
apiURL = 'http://localhost:8000'
[markup.highlight]
pygmentsUseClasses = false

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@ -5,3 +5,6 @@
{{ partial "footer.html" . }}
</div>
</body>
{{ if .Params.script }}
<script src="{{ .Params.script | absURL }}"></script>
{{ end }}

View File

@ -1,8 +1,96 @@
<script src="https://cdn.jsdelivr.net/npm/echarts@5.5.1/dist/echarts.min.js"></script>
<section class="chart-container">
<div id="chart-modifiers"></div>
<div id="chart">
<script src="{{ .src }}"></script>
</div>
</section>
<script>
chartData = [];
function createChart(
id,
endpoint,
chartType,
xAxisField,
yAxisField,
sortField = null,
scaleChart = false,
) {
async function fetchDataForChart(query, valueId) {
try {
const apiEndpoint = `${apiURL}/${endpoint}?${query}`;
const response = await fetch(apiEndpoint);
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
const fetchedData = await response.json();
const newData = fetchedData.reduce((acc, item) => {
const objectId = item[valueId];
if (!acc[objectId]) {
acc[objectId] = [];
}
acc[objectId].push([item[xAxisField], item[yAxisField]]);
return acc;
}, {});
chartData = { ...chartData, ...newData };
updateChart();
} catch (error) {
console.error("Fetching data failed:", error);
}
}
function updateChart() {
console.log(chartData);
let chartDataMap = new Map();
for (let objectId in chartData) {
chartDataMap.set(objectId, chartData[objectId]);
}
var chartDom = document.getElementById(`${id}`);
var myChart = echarts.init(chartDom);
var option = {
tooltip: {
...tooltip,
valueFormatter(value, index) {
return nFormatter(value, 0);
},
},
xAxis: {
type: "time",
},
yAxis: {
scale: scaleChart,
type: "value",
},
series: Array.from(chartDataMap.entries()).map(([name, data]) => ({
name,
type: chartType,
data,
showSymbol: false,
})),
};
myChart.setOption(option, true);
}
// listen for filter events for this target
document.addEventListener("filterChange", function (event) {
tableId = document.getElementById(id).id;
console.log(event.detail);
eventDetail = event.detail;
if (eventDetail.filterActions.includes("refresh")) {
chartData = [];
updateChart();
} else {
if (eventDetail.filterTargets.includes(tableId)) {
if (eventDetail.filterActions.includes("selected")) {
valueId = eventDetail.filterId;
let selectedRow = {
[valueId]: eventDetail.filterValue,
};
query = queryConstructor(selectedRow);
fetchDataForChart(query, valueId);
} else {
delete chartData[eventDetail.filterValue];
updateChart();
}
}
}
});
}
</script>
<script src="/js/chart-params.js"></script>

View File

@ -8,6 +8,8 @@
<link rel="stylesheet" href="/css/toc.css" type="text/css" media="all" />
<link rel="stylesheet" href="/css/articles.css" type="text/css" media="all" />
<link rel="stylesheet" href="/css/charts.css" type="text/css" media="all" />
<script src="/js/lib/sorttable.js"></script>
<script src="/js/lib/helper-functions.js"></script>
<link
rel="stylesheet"
href="/css/codeblock.css"
@ -20,4 +22,7 @@
href="https://fonts.googleapis.com/css2?family=Fira+Mono:wght@400;500;700&family=Montserrat:ital,wght@0,100..900;1,100..900&display=swap"
rel="stylesheet"
/>
<script>
const apiURL = "{{ .Site.Params.apiURL }}";
</script>
</html>

View File

@ -1,2 +1,142 @@
<script src="{{ .src }}"></script>
<table id="jsonTableContainer"></table>
<script>
function createTable(
endpoint,
id,
headers,
maxHeight,
sortable,
valueId,
selectableRows,
filterTargets,
defaultFirstSelected,
) {
async function fetchDataForTable(query) {
try {
const apiEndpoint = `${apiURL}/${endpoint}?${query}`;
const response = await fetch(apiEndpoint);
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
const fetchedData = await response.json();
data = fetchedData;
generateTable(data);
} catch (error) {
console.error("Fetching data failed:", error);
}
}
function generateTable(data) {
const jsonTableContainer = document.getElementById(`${id}--container`);
jsonTableContainer.className = "jsonTableContainer";
jsonTableContainer.innerHTML = "";
jsonTableContainer.style.maxHeight = maxHeight;
tableHeaderNames = Object.values(headers);
tableHeaderKeys = Object.keys(headers);
const table = document.createElement("table");
table.id = `${id}`;
const thead = document.createElement("thead");
const tbody = document.createElement("tbody");
const headerRow = document.createElement("tr");
tableHeaderNames.forEach((header) => {
const th = document.createElement("th");
th.textContent = header;
headerRow.appendChild(th);
});
thead.appendChild(headerRow);
table.appendChild(thead);
for (const key in data) {
const row = document.createElement("tr");
row.value = data[key][valueId];
tableHeaderKeys.forEach((columnName) => {
const td = document.createElement("td");
const div = document.createElement("div");
div.id = "scrollable";
div.textContent = data[key][columnName];
td.appendChild(div);
row.appendChild(td);
tbody.appendChild(row);
});
}
table.appendChild(thead);
table.appendChild(tbody);
jsonTableContainer.appendChild(table);
// sortable
if (sortable == "true") {
table.className = "sortable";
sorttable.makeSortable(document.getElementById(`${id}`));
}
if (selectableRows === "multi" || selectableRows === "single") {
const rows = table.getElementsByTagName("tr");
for (let i = 1; i < rows.length; i++) {
rows[i].addEventListener("click", function () {
if (selectableRows === "multi") {
this.classList.toggle("selected");
if (this.classList.contains("selected")) {
const event = new CustomEvent("filterChange", {
detail: {
filterId: valueId,
filterValue: this.value,
filterActions: ["selected"],
filterTargets: filterTargets,
},
});
document.dispatchEvent(event);
} else {
const event = new CustomEvent("filterChange", {
detail: {
filterId: valueId,
filterValue: this.value,
filterActions: ["deselected"],
filterTargets: filterTargets,
},
});
document.dispatchEvent(event);
}
} else if (selectableRows === "single") {
if (this.classList.contains("selected")) {
this.classList.remove("selected");
} else {
for (let j = 1; j < rows.length; j++) {
rows[j].classList.remove("selected");
}
this.classList.add("selected");
}
}
});
if (defaultFirstSelected == true) {
if (i == 1) {
rows[i].classList.add("selected");
const event = new CustomEvent("filterChange", {
detail: {
filterId: valueId,
filterValue: rows[i].value,
filterActions: ["selected"],
filterTargets: filterTargets,
},
});
document.dispatchEvent(event);
}
}
}
}
}
// listen for filter events for this target
document.addEventListener("filterChange", function (event) {
tableId = document.getElementById(id).id;
if (event.detail.filterTargets.includes(tableId)) {
query = queryConstructor();
fetchDataForTable(query);
}
});
query = queryConstructor();
fetchDataForTable(query);
}
</script>

View File

@ -1,5 +1,10 @@
{{ partial "chart.html" }}
<section class = 'chart-container'>
<div class = "chart" id='{{ .Get "id" }}'>
<script>
const apiURL = "{{ .Site.Params.apiURL }}";
document.addEventListener("DOMContentLoaded", function () {
createChart(id={{ .Get "id" }}, endpoint={{ .Get "endpoint" }}, chartType={{ .Get "chartType" }}, xAxisField={{ .Get "xAxisField" }}, yAxisField={{ .Get "yAxisField" }}, sortField={{ .Get "sortField" }}, scaleChart={{ .Get "scaleChart" }})
});
</script>
{{ $id := .Get "src" | md5 }} {{ partial "chart.html" (dict "src" (.Get "src")
"id" $id) }}
</div>
</section>

View File

@ -5,7 +5,9 @@
<script>
async function downloadFile(url, name) {
try {
const response = await fetch(`${"{{ .Site.Params.apiURL }}"}/download${url}`);
downloadUrl = `${"{{ .Site.Params.apiURL }}"}/download${url}`
console.log("Downloading from url:",downloadUrl)
const response = await fetch(downloadUrl);
if (!response.ok) {
throw new Error('Network response was not ok');
}

View File

@ -0,0 +1,29 @@
{{ $id := .Get "id" }}
{{ $default_selection := .Get "default_selection" }}
{{ $options := .Get "options" }}
{{ $options_split := split $options "," }}
<div class="dropdown-filter-container">
<select class="filter dropdown-filter" id="{{ $id }}" idFilter='{{ .Get "id_filter" }}' onchange="dispatchDropdownEvent(this)">
{{ range $options_split }}
{{ $parts := split . ":" }}
{{ $key := index $parts 0 }}
{{ $value := index $parts 1 }}
<option value="{{ $value }}" {{ if eq $key $default_selection }}selected{{ end }}>{{ $key }}</option>
{{ end }}
</select>
<script>
function dispatchDropdownEvent(selectElement) {
const event = new CustomEvent('filterChange', {
detail: {
filterId: '{{ .Get "id_filter" }}',
filterValue: selectElement.value,
filterActions: ["refresh"],
filterTargets: '{{ .Get "targets" }}'.split(" ")
}
});
document.dispatchEvent(event);
}
</script>
</div>

View File

@ -0,0 +1,15 @@
<script src="https://labs.geomatico.es/maplibre-cog-protocol/dist/index.js"></script>
<script src="https://unpkg.com/maplibre-gl/dist/maplibre-gl.js"></script>
<link
rel="stylesheet"
href="https://unpkg.com/maplibre-gl/dist/maplibre-gl.css"
/>
<section class="map-container">
<div id="{{ .Get `id` }}" style="height: 400px"></div>
<script>
let map = new maplibregl.Map({
container: "{{ .Get `id` }}",
style: "{{ .Get `style` }}",
});
</script>
</section>

View File

@ -1,2 +1,8 @@
{{ $id := .Get "src" | md5 }}
{{ partial "table.html" (dict "src" (.Get "src") "id" $id) }}
{{ partial "table.html" }}
<div id = '{{ .Get "id" }}--container'>
<script>
document.addEventListener("DOMContentLoaded", function () {
createTable({{ .Get "endpoint" }}, {{ .Get "id" }}, {{ .Get "headers" | safeJS }}, {{ .Get "maxHeight" }}, {{ .Get "sortable" }}, {{ .Get "valueId" }}, {{ .Get "selectableRows" }}, '{{ .Get "targets" }}'.split(" "), {{ .Get "defaultFirstSelected" | safeJS }})
});
</script>
</div>

22
pyproject.toml Normal file
View File

@ -0,0 +1,22 @@
[tool.poetry]
name = "baseddata-io"
version = "0.1.0"
description = ""
authors = ["Sam <samual.shop@proton.me>"]
readme = "README.md"
packages = [{include = "baseddata"}]
package-mode = false
[virtualenvs]
in-project = true
[tool.poetry.dependencies]
python = "^3.11"
fastapi = "^0.115.4"
uvicorn = "^0.32.0"
psycopg2 = "^2.9.10"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

View File

@ -1,20 +1,19 @@
{ pkgs ? import <nixpkgs> { } }:
{pkgs ? import <nixpkgs> {}}:
pkgs.mkShell
{
nativeBuildInputs = with pkgs; [
python312Packages.flask
python312Packages.flask-cors
python312Packages.requests
python312Packages.pandas
python312Packages.orjson
hugo
tmux
python311
poetry
];
NIX_LD_LIBRARY_PATH=/run/current-system/sw/share/nix-ld/lib;
NIX_LD=/run/current-system/sw/share/nix-ld/lib/ld.so;
shellHook = ''
${pkgs.cowsay}/bin/cowsay "Welcome to the baseddata.io development environment!" | ${pkgs.lolcat}/bin/lolcat
export LD_LIBRARY_PATH=$NIX_LD_LIBRARY_PATH
source .env
source .venv/bin/activate
get_session=$(tmux list-session | grep "baseddata")
if [ -z "$get_session" ];
@ -22,9 +21,8 @@ pkgs.mkShell
tmux new-session -d -s baseddata
tmux split-window -h
tmux send-keys -t 0 "hugo server" C-m
tmux send-keys -t 1 "cd backend && python app.py" C-m
tmux send-keys -t 1 "cd backend && uvicorn main:app --reload" C-m
echo "Baseddata running in dev tmux shell"
fi
'';
}

View File

@ -1,24 +1,12 @@
/* Charts */
.chart-flex-container {
display: flex;
}
.chart-flex-container article {
flex: 1;
}
#chart {
width: 100%;
aspect-ratio: 16 / 9;
}
.chart-container {
margin-top: 20px;
display: flex;
justify-content: center;
flex-direction: column;
/* height: 600px; */
aspect-ratio: 1 / 1;
}
#chart-modifiers {
.chart {
display: flex;
height: 100%;
width: 100%;
}

View File

@ -70,17 +70,18 @@
/* Style for WebKit browsers (Chrome, Safari, etc.) */
*::-webkit-scrollbar {
height: 5px;
border-radius: 6px;
height: 2px;
border-radius: 1px;
background: #1f1f28;
}
*::-webkit-scrollbar-thumb {
border-radius: 6px;
border-radius: 2px;
background: #585653;
}
*::-webkit-scrollbar-thumb:hover {
height: 2px;
background: #454445; /* Background color on hover */
}

View File

@ -1,6 +1,11 @@
/* Tables */
#jsonTableContainer {
max-width: 150%;
.jsonTableContainer {
display: flex;
overflow-y: auto;
}
table.sortable th:not(.sorttable_sorted):not(.sorttable_sorted_reverse):not(.sorttable_nosort):after {
content: " \25B4\25BE"
}
table {
@ -23,9 +28,13 @@ td {
max-width: 90px;
font-size: var(--table-row-font-size);
}
#scrollable:hover {
scrollbar-width: thin;
}
@media only screen and (max-width: 800px) {
#scrollable {
scrollbar-width: thin;
max-width: 90px;
max-height: 100%;
margin: 0;
@ -44,3 +53,10 @@ tr:nth-child(odd) {
background-color: var(--table-odd-row-bg-color);
font-size: var(--table-row-font-size);
}
tr:hover {
background-color: #f5f5f5;
}
tr.selected {
background-color: #d1ecf1;
}

View File

@ -0,0 +1,16 @@
function queryConstructor(customFilters = {}) {
let filters = document.querySelectorAll(".filter");
let queryObject = {};
Object.assign(queryObject, customFilters);
filters.forEach((filter) => {
const filterId = filter.getAttribute("idFilter");
const filterValue = filter.value;
queryObject[filterId] = filterValue;
});
let queryString = `query=${JSON.stringify(queryObject)}`;
return queryString;
}

495
static/js/lib/sorttable.js Normal file
View File

@ -0,0 +1,495 @@
/*
SortTable
version 2
7th April 2007
Stuart Langridge, http://www.kryogenix.org/code/browser/sorttable/
Instructions:
Download this file
Add <script src="sorttable.js"></script> to your HTML
Add class="sortable" to any table you'd like to make sortable
Click on the headers to sort
Thanks to many, many people for contributions and suggestions.
Licenced as X11: http://www.kryogenix.org/code/browser/licence.html
This basically means: do what you want with it.
*/
var stIsIE = /*@cc_on!@*/false;
sorttable = {
init: function() {
// quit if this function has already been called
if (arguments.callee.done) return;
// flag this function so we don't do the same thing twice
arguments.callee.done = true;
// kill the timer
if (_timer) clearInterval(_timer);
if (!document.createElement || !document.getElementsByTagName) return;
sorttable.DATE_RE = /^(\d\d?)[\/\.-](\d\d?)[\/\.-]((\d\d)?\d\d)$/;
forEach(document.getElementsByTagName('table'), function(table) {
if (table.className.search(/\bsortable\b/) != -1) {
sorttable.makeSortable(table);
}
});
},
makeSortable: function(table) {
if (table.getElementsByTagName('thead').length == 0) {
// table doesn't have a tHead. Since it should have, create one and
// put the first table row in it.
the = document.createElement('thead');
the.appendChild(table.rows[0]);
table.insertBefore(the,table.firstChild);
}
// Safari doesn't support table.tHead, sigh
if (table.tHead == null) table.tHead = table.getElementsByTagName('thead')[0];
if (table.tHead.rows.length != 1) return; // can't cope with two header rows
// Sorttable v1 put rows with a class of "sortbottom" at the bottom (as
// "total" rows, for example). This is B&R, since what you're supposed
// to do is put them in a tfoot. So, if there are sortbottom rows,
// for backwards compatibility, move them to tfoot (creating it if needed).
sortbottomrows = [];
for (var i=0; i<table.rows.length; i++) {
if (table.rows[i].className.search(/\bsortbottom\b/) != -1) {
sortbottomrows[sortbottomrows.length] = table.rows[i];
}
}
if (sortbottomrows) {
if (table.tFoot == null) {
// table doesn't have a tfoot. Create one.
tfo = document.createElement('tfoot');
table.appendChild(tfo);
}
for (var i=0; i<sortbottomrows.length; i++) {
tfo.appendChild(sortbottomrows[i]);
}
delete sortbottomrows;
}
// work through each column and calculate its type
headrow = table.tHead.rows[0].cells;
for (var i=0; i<headrow.length; i++) {
// manually override the type with a sorttable_type attribute
if (!headrow[i].className.match(/\bsorttable_nosort\b/)) { // skip this col
mtch = headrow[i].className.match(/\bsorttable_([a-z0-9]+)\b/);
if (mtch) { override = mtch[1]; }
if (mtch && typeof sorttable["sort_"+override] == 'function') {
headrow[i].sorttable_sortfunction = sorttable["sort_"+override];
} else {
headrow[i].sorttable_sortfunction = sorttable.guessType(table,i);
}
// make it clickable to sort
headrow[i].sorttable_columnindex = i;
headrow[i].sorttable_tbody = table.tBodies[0];
dean_addEvent(headrow[i],"click", sorttable.innerSortFunction = function(e) {
if (this.className.search(/\bsorttable_sorted\b/) != -1) {
// if we're already sorted by this column, just
// reverse the table, which is quicker
sorttable.reverse(this.sorttable_tbody);
this.className = this.className.replace('sorttable_sorted',
'sorttable_sorted_reverse');
this.removeChild(document.getElementById('sorttable_sortfwdind'));
sortrevind = document.createElement('span');
sortrevind.id = "sorttable_sortrevind";
sortrevind.innerHTML = stIsIE ? '&nbsp<font face="webdings">5</font>' : '&nbsp;&#x25B4;';
this.appendChild(sortrevind);
return;
}
if (this.className.search(/\bsorttable_sorted_reverse\b/) != -1) {
// if we're already sorted by this column in reverse, just
// re-reverse the table, which is quicker
sorttable.reverse(this.sorttable_tbody);
this.className = this.className.replace('sorttable_sorted_reverse',
'sorttable_sorted');
this.removeChild(document.getElementById('sorttable_sortrevind'));
sortfwdind = document.createElement('span');
sortfwdind.id = "sorttable_sortfwdind";
sortfwdind.innerHTML = stIsIE ? '&nbsp<font face="webdings">6</font>' : '&nbsp;&#x25BE;';
this.appendChild(sortfwdind);
return;
}
// remove sorttable_sorted classes
theadrow = this.parentNode;
forEach(theadrow.childNodes, function(cell) {
if (cell.nodeType == 1) { // an element
cell.className = cell.className.replace('sorttable_sorted_reverse','');
cell.className = cell.className.replace('sorttable_sorted','');
}
});
sortfwdind = document.getElementById('sorttable_sortfwdind');
if (sortfwdind) { sortfwdind.parentNode.removeChild(sortfwdind); }
sortrevind = document.getElementById('sorttable_sortrevind');
if (sortrevind) { sortrevind.parentNode.removeChild(sortrevind); }
this.className += ' sorttable_sorted';
sortfwdind = document.createElement('span');
sortfwdind.id = "sorttable_sortfwdind";
sortfwdind.innerHTML = stIsIE ? '&nbsp<font face="webdings">6</font>' : '&nbsp;&#x25BE;';
this.appendChild(sortfwdind);
// build an array to sort. This is a Schwartzian transform thing,
// i.e., we "decorate" each row with the actual sort key,
// sort based on the sort keys, and then put the rows back in order
// which is a lot faster because you only do getInnerText once per row
row_array = [];
col = this.sorttable_columnindex;
rows = this.sorttable_tbody.rows;
for (var j=0; j<rows.length; j++) {
row_array[row_array.length] = [sorttable.getInnerText(rows[j].cells[col]), rows[j]];
}
/* If you want a stable sort, uncomment the following line */
//sorttable.shaker_sort(row_array, this.sorttable_sortfunction);
/* and comment out this one */
row_array.sort(this.sorttable_sortfunction);
tb = this.sorttable_tbody;
for (var j=0; j<row_array.length; j++) {
tb.appendChild(row_array[j][1]);
}
delete row_array;
});
}
}
},
guessType: function(table, column) {
// guess the type of a column based on its first non-blank row
sortfn = sorttable.sort_alpha;
for (var i=0; i<table.tBodies[0].rows.length; i++) {
text = sorttable.getInnerText(table.tBodies[0].rows[i].cells[column]);
if (text != '') {
if (text.match(/^-?[£$¤]?[\d,.]+%?$/)) {
return sorttable.sort_numeric;
}
// check for a date: dd/mm/yyyy or dd/mm/yy
// can have / or . or - as separator
// can be mm/dd as well
possdate = text.match(sorttable.DATE_RE)
if (possdate) {
// looks like a date
first = parseInt(possdate[1]);
second = parseInt(possdate[2]);
if (first > 12) {
// definitely dd/mm
return sorttable.sort_ddmm;
} else if (second > 12) {
return sorttable.sort_mmdd;
} else {
// looks like a date, but we can't tell which, so assume
// that it's dd/mm (English imperialism!) and keep looking
sortfn = sorttable.sort_ddmm;
}
}
}
}
return sortfn;
},
getInnerText: function(node) {
// gets the text we want to use for sorting for a cell.
// strips leading and trailing whitespace.
// this is *not* a generic getInnerText function; it's special to sorttable.
// for example, you can override the cell text with a customkey attribute.
// it also gets .value for <input> fields.
if (!node) return "";
hasInputs = (typeof node.getElementsByTagName == 'function') &&
node.getElementsByTagName('input').length;
if (node.getAttribute("sorttable_customkey") != null) {
return node.getAttribute("sorttable_customkey");
}
else if (typeof node.textContent != 'undefined' && !hasInputs) {
return node.textContent.replace(/^\s+|\s+$/g, '');
}
else if (typeof node.innerText != 'undefined' && !hasInputs) {
return node.innerText.replace(/^\s+|\s+$/g, '');
}
else if (typeof node.text != 'undefined' && !hasInputs) {
return node.text.replace(/^\s+|\s+$/g, '');
}
else {
switch (node.nodeType) {
case 3:
if (node.nodeName.toLowerCase() == 'input') {
return node.value.replace(/^\s+|\s+$/g, '');
}
case 4:
return node.nodeValue.replace(/^\s+|\s+$/g, '');
break;
case 1:
case 11:
var innerText = '';
for (var i = 0; i < node.childNodes.length; i++) {
innerText += sorttable.getInnerText(node.childNodes[i]);
}
return innerText.replace(/^\s+|\s+$/g, '');
break;
default:
return '';
}
}
},
reverse: function(tbody) {
// reverse the rows in a tbody
newrows = [];
for (var i=0; i<tbody.rows.length; i++) {
newrows[newrows.length] = tbody.rows[i];
}
for (var i=newrows.length-1; i>=0; i--) {
tbody.appendChild(newrows[i]);
}
delete newrows;
},
/* sort functions
each sort function takes two parameters, a and b
you are comparing a[0] and b[0] */
sort_numeric: function(a,b) {
aa = parseFloat(a[0].replace(/[^0-9.-]/g,''));
if (isNaN(aa)) aa = 0;
bb = parseFloat(b[0].replace(/[^0-9.-]/g,''));
if (isNaN(bb)) bb = 0;
return aa-bb;
},
sort_alpha: function(a,b) {
if (a[0]==b[0]) return 0;
if (a[0]<b[0]) return -1;
return 1;
},
sort_ddmm: function(a,b) {
mtch = a[0].match(sorttable.DATE_RE);
y = mtch[3]; m = mtch[2]; d = mtch[1];
if (m.length == 1) m = '0'+m;
if (d.length == 1) d = '0'+d;
dt1 = y+m+d;
mtch = b[0].match(sorttable.DATE_RE);
y = mtch[3]; m = mtch[2]; d = mtch[1];
if (m.length == 1) m = '0'+m;
if (d.length == 1) d = '0'+d;
dt2 = y+m+d;
if (dt1==dt2) return 0;
if (dt1<dt2) return -1;
return 1;
},
sort_mmdd: function(a,b) {
mtch = a[0].match(sorttable.DATE_RE);
y = mtch[3]; d = mtch[2]; m = mtch[1];
if (m.length == 1) m = '0'+m;
if (d.length == 1) d = '0'+d;
dt1 = y+m+d;
mtch = b[0].match(sorttable.DATE_RE);
y = mtch[3]; d = mtch[2]; m = mtch[1];
if (m.length == 1) m = '0'+m;
if (d.length == 1) d = '0'+d;
dt2 = y+m+d;
if (dt1==dt2) return 0;
if (dt1<dt2) return -1;
return 1;
},
shaker_sort: function(list, comp_func) {
// A stable sort function to allow multi-level sorting of data
// see: http://en.wikipedia.org/wiki/Cocktail_sort
// thanks to Joseph Nahmias
var b = 0;
var t = list.length - 1;
var swap = true;
while(swap) {
swap = false;
for(var i = b; i < t; ++i) {
if ( comp_func(list[i], list[i+1]) > 0 ) {
var q = list[i]; list[i] = list[i+1]; list[i+1] = q;
swap = true;
}
} // for
t--;
if (!swap) break;
for(var i = t; i > b; --i) {
if ( comp_func(list[i], list[i-1]) < 0 ) {
var q = list[i]; list[i] = list[i-1]; list[i-1] = q;
swap = true;
}
} // for
b++;
} // while(swap)
}
}
/* ******************************************************************
Supporting functions: bundled here to avoid depending on a library
****************************************************************** */
// Dean Edwards/Matthias Miller/John Resig
/* for Mozilla/Opera9 */
if (document.addEventListener) {
document.addEventListener("DOMContentLoaded", sorttable.init, false);
}
/* for Internet Explorer */
/*@cc_on @*/
/*@if (@_win32)
document.write("<script id=__ie_onload defer src=javascript:void(0)><\/script>");
var script = document.getElementById("__ie_onload");
script.onreadystatechange = function() {
if (this.readyState == "complete") {
sorttable.init(); // call the onload handler
}
};
/*@end @*/
/* for Safari */
if (/WebKit/i.test(navigator.userAgent)) { // sniff
var _timer = setInterval(function() {
if (/loaded|complete/.test(document.readyState)) {
sorttable.init(); // call the onload handler
}
}, 10);
}
/* for other browsers */
window.onload = sorttable.init;
// written by Dean Edwards, 2005
// with input from Tino Zijdel, Matthias Miller, Diego Perini
// http://dean.edwards.name/weblog/2005/10/add-event/
function dean_addEvent(element, type, handler) {
if (element.addEventListener) {
element.addEventListener(type, handler, false);
} else {
// assign each event handler a unique ID
if (!handler.$$guid) handler.$$guid = dean_addEvent.guid++;
// create a hash table of event types for the element
if (!element.events) element.events = {};
// create a hash table of event handlers for each element/event pair
var handlers = element.events[type];
if (!handlers) {
handlers = element.events[type] = {};
// store the existing event handler (if there is one)
if (element["on" + type]) {
handlers[0] = element["on" + type];
}
}
// store the event handler in the hash table
handlers[handler.$$guid] = handler;
// assign a global event handler to do all the work
element["on" + type] = handleEvent;
}
};
// a counter used to create unique IDs
dean_addEvent.guid = 1;
function removeEvent(element, type, handler) {
if (element.removeEventListener) {
element.removeEventListener(type, handler, false);
} else {
// delete the event handler from the hash table
if (element.events && element.events[type]) {
delete element.events[type][handler.$$guid];
}
}
};
function handleEvent(event) {
var returnValue = true;
// grab the event object (IE uses a global event object)
event = event || fixEvent(((this.ownerDocument || this.document || this).parentWindow || window).event);
// get a reference to the hash table of event handlers
var handlers = this.events[event.type];
// execute each event handler
for (var i in handlers) {
this.$$handleEvent = handlers[i];
if (this.$$handleEvent(event) === false) {
returnValue = false;
}
}
return returnValue;
};
function fixEvent(event) {
// add W3C standard event methods
event.preventDefault = fixEvent.preventDefault;
event.stopPropagation = fixEvent.stopPropagation;
return event;
};
fixEvent.preventDefault = function() {
this.returnValue = false;
};
fixEvent.stopPropagation = function() {
this.cancelBubble = true;
}
// Dean's forEach: http://dean.edwards.name/base/forEach.js
/*
forEach, version 1.0
Copyright 2006, Dean Edwards
License: http://www.opensource.org/licenses/mit-license.php
*/
// array-like enumeration
if (!Array.forEach) { // mozilla already supports this
Array.forEach = function(array, block, context) {
for (var i = 0; i < array.length; i++) {
block.call(context, array[i], i, array);
}
};
}
// generic enumeration
Function.prototype.forEach = function(object, block, context) {
for (var key in object) {
if (typeof this.prototype[key] == "undefined") {
block.call(context, object[key], key, object);
}
}
};
// character enumeration
String.forEach = function(string, block, context) {
Array.forEach(string.split(""), function(chr, index) {
block.call(context, chr, index, string);
});
};
// globally resolve forEach enumeration
var forEach = function(object, block, context) {
if (object) {
var resolve = Object; // default
if (object instanceof Function) {
// functions have a "length" property
resolve = Function;
} else if (object.forEach instanceof Function) {
// the object implements a custom forEach method so use that
object.forEach(block, context);
return;
} else if (typeof object == "string") {
// the object is a string
resolve = String;
} else if (typeof object.length == "number") {
// the object is array-like
resolve = Array;
}
resolve.forEach(object, block, context);
}
};

17
static/js/mangrove-map.js Normal file
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@ -0,0 +1,17 @@
maplibregl.addProtocol("cog", MaplibreCOGProtocol.cogProtocol);
map.on("load", () => {
map.addSource("imageSource", {
type: "raster",
url: `cog://http://localhost:5000/cog?year=${year}&pid=${pid}`,
tileSize: 256,
minzoom: 0,
});
map.addLayer({
id: "imageLayer",
source: "imageSource",
type: "raster",
});
});