Mapping data flow

[Barabazs]

We have an extensive collection of tools with lots of data dependencies that may seem hard to grasp for new users. In this post we aim to map the data categories to the notebooks or scripts.

E.g. I want to generate rarity_vs_mintdate_map.
Looking at the chart from right to left, I see that I should have:

• the minting_data, which can be generated with find_minting_data or find_minting_data_from_moralis
• for the minting_data I will first need rarity_data, which can be generated with from_raritysnifferor from_raritytools or rarity.py
• for rarity.py, I will first need the raw_metadata from pulling.py

flowchart LR
  
  rarity_data -->  minting_data
  rarity_data --> rarity_map 
  rarity_data --> pre-reveal_data
  minting_data --> grifter_maps
  minting_data --> grifter_stats
  minting_data --> wallets_average_rarity_rank_histogram
  minting_data --> rarity_vs_mintdate_map
  minting_data --> ks_test
  minting_data -->  airdrop_or_mint
  revenue_by_token_ids --> first_sale_revenue
  first_sale_revenue --> flipping_profit_per_token
  rarity_data --> rarity_vs_lastprice
  minting_data --> rarity_histogram_overlay
  pulling.py-->rarity.py
  
  subgraph minting_data
    direction LR
    find_minting_data
    find_minting_data_from_moralis
  end
  subgraph raw_metadata
    direction LR
    pulling.py
  end
  subgraph rarity_data
    direction LR
    from_raritysniffer
    from_raritytools
    rarity.py
  end
  subgraph pre-reveal_data
    direction LR
    pre-reveal_bids
    pre-reveal_sales
  end
  
  subgraph sales_data
    direction LR
    internal_function
    sales_data_moralis
  end
  
  pre-reveal_data --> prereveal_tests
  internal_function --> revenue_by_token_ids
  raw_metadata & sales_data_moralis & rarity_data --> interactive_plots

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