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add preview script
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andrewhong5297 committed Nov 28, 2023
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28 changes: 17 additions & 11 deletions README.md
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Expand Up @@ -8,22 +8,28 @@ A template for creating repos to manage your Dune queries using the CRUD API. Th

2. Copy and paste that list into the `queries.yml` file (or any list of query ids, doesn't have to be linked to a dashboard).

3. Install the python requirements and run the `pull_from_dune.py` script. You can input the following lines into a terminal/CLI:
```
pip install -r requirements.txt
python scripts/pull_from_dune.py
```
This will bring in your query ids into `/query_{id}.sql` files within the `/queries` folder. You can run `pull_from_dune.py` anytime you need to update your queries in this repo with edits from the Dune app.
4. Make any changes you need to directly in the repo, and any time you push a commit `push_to_dune.py` will run and save your changes into Dune directly. You can also run the script manually:
```
python scripts/push_to_dune.py
```
3. Then, run `pull_from_dune.py` to bring in all queries into `/query_{id}.sql` files within the `/queries` folder. Directions are below.

4. Make any changes you need to directly in the repo. Any time you push a commit `push_to_dune.py` will run and save your changes into Dune directly.

💡: We use the [Dune CRUD API](https://dune.com/docs/api/api-reference/edit-queries/) to manage queries - this does not change how your queries behave in app.

---

### Scripts

You'll need python installed to run the script commands. Install the required packages first:

```
pip install -r requirements.txt
```

| Script | Action | Command |
|---|---|---|
| `pull_from_dune.py` | updates/adds queries to your repo based on ids in queries.yml | `python scripts/pull_from_dune.py` |
| `push_to_dune.py` | updates queries to Dune based on files in your `queries` folder | `python scripts/push_to_dune.py` |
| `preview_query.py` | gives you the first 20 rows of results by running a query from your `queries` folder. Specify the id. | `python scripts/preview_query.py 3237723` |

### For Contributors

I've set up four types of issues right now:
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41 changes: 0 additions & 41 deletions queries/query_3237721.sql
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-- query link: https://dune.com/queries/3237721


WITH
seven_day_volume AS (
SELECT
project AS "Project",
SUM(CAST(amount_usd AS DOUBLE)) AS usd_volume
FROM
dex."trades" AS t
WHERE
block_time > NOW() - INTERVAL '7' day
GROUP BY
1
),
one_day_volume AS (
SELECT
project AS "Project",
SUM(CAST(amount_usd AS DOUBLE)) AS usd_volume
FROM
dex."trades" AS t
WHERE
block_time > NOW() - INTERVAL '1' day
GROUP BY
1
)
SELECT
ROW_NUMBER() OVER (
ORDER BY
SUM(seven.usd_volume) DESC NULLS FIRST
) AS "Rank",
seven."Project",
SUM(seven.usd_volume) AS "7 Days Volume",
SUM(one.usd_volume) AS "24 Hours Volume"
FROM
seven_day_volume AS seven
LEFT JOIN one_day_volume AS one ON seven."Project" = one."Project"
WHERE
NOT seven.usd_volume IS NULL
GROUP BY
2
ORDER BY
3 DESC NULLS FIRST
-- DEX by volume 🏦
WITH
seven_day_volume AS (
SELECT
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12 changes: 0 additions & 12 deletions queries/query_3237723.sql
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Expand Up @@ -3,18 +3,6 @@
-- query link: https://dune.com/queries/3237723


SELECT
blockchain,
DATE_TRUNC('week', block_time),
SUM(CAST(amount_usd AS DOUBLE)) AS usd_volume
FROM
dex."trades" AS t /* AND block_time < date_trunc('week', Now()) -- Add this line to see stats from current week */
WHERE
block_time > NOW() - INTERVAL '365' day
GROUP BY
1,
2
-- Weekly DEX volume by chain
SELECT
blockchain,
DATE_TRUNC('week', block_time),
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39 changes: 0 additions & 39 deletions queries/query_3237726.sql
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Expand Up @@ -3,45 +3,6 @@
-- query link: https://dune.com/queries/3237726


WITH
seven_day_volume AS (
SELECT
project AS "Project",
SUM(CAST(amount_usd AS DOUBLE)) AS usd_volume
FROM
dex_aggregator.trades AS t
WHERE
block_time > CURRENT_TIMESTAMP - INTERVAL '7' day
GROUP BY
1
),
one_day_volume AS (
SELECT
project AS "Project",
SUM(CAST(amount_usd AS DOUBLE)) AS usd_volume
FROM
dex_aggregator.trades AS t
WHERE
block_time > CURRENT_TIMESTAMP - INTERVAL '1' day
GROUP BY
1
)
SELECT
ROW_NUMBER() OVER (
ORDER BY
SUM(seven.usd_volume) DESC NULLS FIRST
) AS "Rank",
seven."Project",
SUM(seven.usd_volume) AS "7 Days Volume",
SUM(one.usd_volume) AS "24 Hours Volume"
FROM
seven_day_volume AS seven
LEFT JOIN one_day_volume AS one ON seven."Project" = one."Project"
GROUP BY
2
ORDER BY
3 DESC NULLS FIRST
-- Aggregator by volume 📢
WITH
seven_day_volume AS (
SELECT
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33 changes: 0 additions & 33 deletions queries/query_3237745.sql
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Expand Up @@ -3,39 +3,6 @@
-- query link: https://dune.com/queries/3237745


with
all_traders as (
SELECT
date_trunc('week',block_time) as week
, tx_from
, sum(amount_usd) as volume
FROM (SELECT
block_time
, tx_hash
, tx_from
, max(amount_usd) as amount_usd
FROM dex.trades
group by 1,2,3
)
WHERE amount_usd is not null
group by 1,2
)

SELECT
week
, case
when volume < 1e2 then '< $100'
when volume >= 1e2 and volume < 1e3 then '< $1,000'
when volume >= 1e3 and volume < 1e4 then '< $10,000'
when volume >= 1e4 and volume < 1e5 then '< $100,000'
when volume >= 1e5 and volume < 1e6 then '< $1,000,000'
when volume >= 1e6 then '$1m+'
end as trader_bucket
, count(*)
FROM all_traders
WHERE week >= NOW() - INTERVAL '365' day
group by 1,2
-- EVM DEX Traders by Bucket
with
all_traders as (
SELECT
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3 changes: 2 additions & 1 deletion requirements.txt
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dune-client==1.3.0
pyyaml
python-dotenv
python-dotenv
pandas
30 changes: 30 additions & 0 deletions scripts/preview_query.py
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import os
from dune_client.client import DuneClient
from dotenv import load_dotenv
import sys
import pandas as pd

dotenv_path = os.path.join(os.path.dirname(__file__), '..', '.env')
load_dotenv(dotenv_path)

dune = DuneClient.from_env()

#get id passed in python script invoke
id = sys.argv[1]

query_file = os.path.join(os.path.dirname(__file__), '..', 'queries', f'query_{id}.sql')

print('getting 20 line preview for query {}...'.format(id))

with open(query_file, 'r', encoding='utf-8') as file:
query_text = file.read()

results = dune.run_sql(query_text + '\n limit 20')
# print(results.result.rows)
results = pd.DataFrame(data=results.result.rows)
print('\n')
print(results)
print('\n')
print(results.describe())
print('\n')
print(results.info())

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