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I have 5 different tables:

• Toasters: product name (foreign key to products and primary key), slots, serial
• Microwaves: product name (same as toaster), wattage
• Products: product name (primary key)
• Stock: product (fk to product), warehouse (fk to warehouse), amount
• Warehouse: name (primary key)

toasters and microwaves are child tables of products (although its not using postgres inheritance, since there are issues with it). They represent different models of toasters (simplified to just slots and wattage here). Every toaster and microwave has exactly 1 entry in the products table.

Now the goal is to create a query that essentially gives me an amount of all products across all warehouses for a given list of product names. The problem is, that some warehouses may not have a stock entry for a certain product. They also have either one stock per product or none.

I have managed to make it work for a single warehouse:

I want to add background audio in my splash screen. So tried the below code. But I got some exceptions. Anyone pls help me to solve this.Here I use the package Flutter Sound.

-------------This is My Code-----------------

I have a data frame where some of the hours in Time GMT are missing.
Normally, the hours should be shown in a sequence from 00:00 to 23:00, but sometimes an hour is missed.

Where an hour is missing in the sequence, I would like to insert a new row.
The new row will be a copy of the previous row, but with the following columns changed as follows:

• Time GMT: will contain the next hour of the previous row. i.e, if previous == 5:00, new == 6:00

• Sample Measurement: will contain the average between the previous value and the next value in Sample Measurement column.

• MDL: will contain the average between the previous value and the next value in column MDL

What have I tried

I hope you guys are having a wonderful day.

I have set up a webhook in my woocommerce that sends JSON data to Google sheets. The webhook has been working great for months now, just today, I am having some trouble with it. I have tracked the issue to be in google sheets receiving the JSON data, but I don't know why this is happening.

Let me explain.

https://docs.google.com/spreadsheets/d/18G-yVDjYeccl6kznpZgSuRTysRMAu57pwY2oGf6-KWI/edit?usp=sharing

This is the google sheet, when it gets Woocommerce JSON data, it populates a new row.

The problem

Sometimes google sheets doesn't populate the row upon receiving a new order. The problem doesn't lie with woocommerce, because I have checked woocommerce with reqbin and the webhook fires with every order.

Furthermore, when I send requests from reqbin.com to my sheet, the sheet performs the operation successfully 5-6 out of 10 times. Other times it shows an error.

The Error

The error is due to google sheets not being able to parse JSON data, because the JSON data it receives 5 out of 10 times is not proper JSON data. Other 5 times, it is just as it should be. I have put a catch statement if the sheet is unable to parse JSON. Instead of appending new row with the parsed data, it appends the raw received data to the sheet.

It is clear now that there is some issue with google sheets handling that JSON data because when the same data is sent from reqbin.com to webhook.site, it is perfectly as it should be 10/10 times.

How to reproduce the issue

• Open this google sheet. https://docs.google.com/spreadsheets/d/18G-yVDjYeccl6kznpZgSuRTysRMAu57pwY2oGf6-KWI/edit?usp=sharing
• Open reqbin.com and webhook.site, and send the following JSON from reqbin.com to webhook.site 10 times to see if any kind of error occurs.

{ "id": 47222, "parent_id": 0, "status": "processing", "currency": "PKR", "version": "5.1.0","prices_include_tax": false, "date_created": "2021-06-10T01:23:46", "date_modified": "2021-06-10T01:23:46", "discount_total": "0", "discount_tax": "0", "shipping_total": "150", "shipping_tax": "0", "cart_tax": "0", "total": "1850", "total_tax": "0", "customer_id": 0, "order_key": "wc_order_7gIuR7px6MX9C", "billing": { "first_name": "Name", "last_name": "", "company": "", "address_1": "Address", "address_2": "", "city": "City", "state": "", "postcode": "", "country": "PK", "email": "email@email.com", "phone": "1234" }, "shipping": { "first_name": "Name", "last_name": "", "company": "", "address_1": "Address", "address_2": "", "city": "City", "state": "", "postcode": "", "country": "Country" }, "payment_method": "cod", "payment_method_title": "Cash on delivery", "transaction_id": "", "customer_ip_address": "8.8.8.8", "customer_user_agent": "Mozilla/5.0 (Linux; Android 11; M2102J20SG) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.88 Mobile Safari/537.36", "created_via": "checkout", "customer_note": "", "date_completed": null, "date_paid": null, "cart_hash": "64d834c72eecc8e32b9d83fd67d10d9c", "number": "47222", "meta_data": [ { "id": 869388, "key": "_shipping_calculator", "value": "" }, { "id": 869389, "key": "is_vat_exempt", "value": "no" }, { "id": 869391, "key": "_wfacp_report_data", "value": { "wfacp_total": "0.00" } }, { "id": 869392, "key": "_woofunnel_cid", "value": "4" }, { "id": 869393, "key": "_wfacp_post_id", "value": "24852" }, { "id": 869394, "key": "_wfacp_source", "value": "https://website.com/checkouts/checkout-page/" }, { "id": 869395, "key": "_wfacp_timezone", "value": "Asia/Karachi" }, { "id": 869396, "key": "order_comments", "value": "" }, { "id": 869412, "key": "_new_order_email_sent", "value": "true" }, { "id": 869424, "key": "_woofunnel_custid", "value": "4" }, { "id": 869425, "key": "_pys_purchase_event_fired", "value": "1" }, { "id": 869426, "key": "_wfob_stats_ids", "value": [] }, { "id": 869427, "key": "_wfocu_thankyou_visited", "value": "yes" } ], "line_items": [ { "id": 35114, "name": "MTECH Ultra Resilient Knife", "product_id": 11074, "variation_id": 0, "quantity": 1, "tax_class": "", "subtotal": "1700", "subtotal_tax": "0", "total": "1700", "total_tax": "0", "taxes": [], "meta_data": [], "sku": "", "price": 1700, "parent_name": null } ], "tax_lines": [], "shipping_lines": [ { "id": 35115, "method_title": "Fast Shipping (2-4 Days)", "method_id": "flat_rate", "instance_id": "1", "total": "150", "total_tax": "0", "taxes": [], "meta_data": [ { "id": 275053, "key": "Items", "value": "MTECH Ultra Resilient Knife × 1", "display_key": "Items", "display_value": "MTECH Ultra Resilient Knife × 1" } ] } ], "fee_lines": [], "coupon_lines": [], "refunds": [], "date_created_gmt": "2021-06-09T20:23:46", "date_modified_gmt":"2021-06-09T20:23:46", "date_completed_gmt": null, "date_paid_gmt": null, "currency_symbol": "₨","_links": { "self": [ { "href": "https://website.com/wp-json/wc/v3/orders/47222" } ],"collection": [ { "href": "https://website.com/wp-json/wc/v3/orders" } ] } }

• Now send the same data to the following google sheet to see if it appends the row correctly each time.

https://script.google.com/macros/s/AKfycbxupm9bje86F4PQQkyys_LWtXs_kj279R0ipgnZ-cLd7aiEADf1AN_prhk28vOPW9JsRQ/exec

How do I solve the issue? Please let me know if you need any more information. Thanks.

Edit:

Instead of getting a full JSON body like mentioned above, the google sheets seems to be getting the following JSON.

I was trying to write my first ultra-simple numpy testcase, but the first thing I thought of seems to hit a roadblock.

So I did this:

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When I used