Back to Tight Spot
So 0.18 comes out, and while I'm waiting for Bob's mods and other mods to be updated to compatibility again, I decided to go back to the Tight Spot Campaign to get my spaghetti in. I had completed it before back in 0.14, so I knew what I was getting into, but with changes to oil and other recipes I wanted to experience it again. I played through the 5 levels on hard and completed them all in under a couple hours, but I didn't feel satisfied.
Level 5 stops at Blue/Chemical Science Packs, and I completed it on my first try with a minimalist setup (don't have it because I forgot to grab a blueprint). I had about 1 factory for each product/intermediate and only a handful of furnaces scattered around for a final score of ~50k extra points.
I felt that there should be more to Tight Spot, since the tech tree doesn't stop at Blue/Chemical Science Packs, so I dug around in the code and modified Level 5 to go to Yellow/Utility Science Packs instead (with the appropriate intermediates).
Custom Level
The level file is linked below for those interested to try it.
Unzip it, then place the level-05 folder in DriveLetter:\YourFactorioFolder\data\base\campaigns\tight-spot
Playing this requires completing Level 4.
This will overwrite the base game's level-05! Make a backup copy first!
https://drive.google.com/file/d/1LC-mX6 ... sp=sharing
My Solution
No planning here. Spaghetti all the way, for over 3 hours.
Completes with about 5336 extra points +- 4500 (1 output of 3 Yellow/Utility Science Packs) due to sulfuric acid/petroleum gas behavior.
Final Setup:
https://imgur.com/EeRsTeM
Blueprint:
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Final Score:
https://imgur.com/a/1RVTxtA
Things I've Noticed
This was a great exercise in spaghetti and problem-solving.
Factorio doesn't allow more than 5 levels in Tight Spot. If this folder is named "level-06" and all inside files changed, completing Level 5 kicks you back to the main menu without a chance to continue. It also doesn't allow for selection of Level 6 from the main menu, regardless of any completion status of Level 5.
I found no way to customize the map used in the scenario. I was originally going to do this with Purple/Production Science Packs, but the map has no stone to use.
Suggestions
More levels please! I know you devs are hard at work preparing for 1.0 and have a large focus on the actual campaign, but if this is a small amount of work or possibly a post-1.0 goal, I would greatly appreciate it.
Alternately, a custom level designer. Features would ideally include map design, production goals, and available materials to build with, similar to the way the config.lua file does it but in-game.
If you are interested in expanding the gameplay in Tight Spot, I suggest adding technologies. For example, the player could research Automation 3 for 10k coins to allow them to buy those from the market, or they could just work with Automation 1 factories but have 10k more. Inserter stack size was an issue in the Yellow/Utility Science scenario, so that is a possibility as well.
Another concept is land expansion. The player could purchase, say, a chunk (32x32) for 10k. It would have ore, trees, water, and walls, just like a regular part of Tight Spot, and would allow for more player decision-making and strategy as to whether the land is worth it.
Future
Whether this is supported by devs, by mods, or by the players themselves, Tight Spot provides unique puzzle-solving, adding another dimension to Factorio gameplay. I fully support any expansion made to Tight Spot.
I will attempt to take the Level 5 map in the next couple days and make a satellite on in 15 minutes, just to see if it is doable.